Models / Gemini 4 Carbon

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Gemini 4 Carbon

Gemini 4 Carbon is strongest at marketing planning; most buyers will do better with one of the alternatives below.

Results 11 Nov 2026 · 95 results · 5 sources

Price per million tokens
$4.00 in · $20.00 out
Google's list price, 10 Nov 2026 · compare prices$0.20 cached input · 50% off in batch
Speed
Not measured
Intelligence Index
Not measured
Spring Prompt overall
15th of 34 score 54 of 100 · how it works
Spring Prompt Score
52 of 100 12th of 30 · 5 of 5 benchmarks · our own tests only
Developer
Google, based in the US
Weights not published
Released
10 Nov 2026
1,048,576 tokens of context
Pricing and availability
Introductory price: $2.00 in, $10.00 out until 30 Nov 2026; Standard prices apply from 1 December 2026. Output pricing includes thinking tokens.

Where it stands among the models you could choose

Available models grouped by price, intelligence, speed and developer location. Retired models are excluded.

AmongIntelligence IndexSpring Prompt overallPrice, blendedSpeed
Models available today – 15th of 33Claude Fable 5.2 $8.00 blended, 92nd percentilecheapest: Mistral Nemo –
Models priced $3–10 per million tokens – 9th of 14Claude Opus 5.5 sets this group –
Models from developers based in the US – 14th of 20Claude Fable 5.2 $8.00 blended, 83rd percentilecheapest: Gemma 3 4B –

The name under each rank is the leader of that group; green is the top quarter of the group and red the bottom quarter, by rank. Price is shown as a percentile: the share of the group that costs less, so lower is cheaper. "Sets this group" marks the measure the group is defined by. Spring Prompt overall is our score out of 100 across every source (how it works). Price is the developer's list price (or the typical OpenRouter host where we haven't read one) for three input tokens to one output; intelligence and speed are from Artificial Analysis (data sourced from Artificial Analysis); "similar intelligence" means within 4 points on its Intelligence Index. Developer locations are where each company is based, not where a model is served. Groups under 3 models are not ranked.

Measured cost per task

API cost recorded in our benchmark runs, excluding judging.

TaskBenchmarkCost per task
Product listingCatalogBench≈ $0.021
DeckDeckBench≈ $0.164
Survey plan and analysisSurveyBench≈ $0.309
Game of blitz chessBulletBench≈ $0.053

Cheapest model that passes

On our benchmarks that define a pass for each task: what one passing answer cost in our run, failed attempts included, and whether a cheaper model passed.

  • CatalogBench · cost per 1,000 accepted listings
    Gemini 4 Carbon passed 117 of 168 attempts, with no estimate: failed-call costs incomplete. Cheapest: GPT-6 Luna at $0.70 (114 of 168 attempts).
  • DeckBench · cost per presentable deck
    Gemini 4 Carbon: $0.98 (1 of 6 tasks), 9 of 12. Cheapest: GPT-6.1 Terra at $0.13 (3 of 6 tasks). It passed at least as often.
  • SurveyBench · cost per sound survey task
    Gemini 4 Carbon: $2.78 (1 of 9 tasks), 9 of 10. Cheapest: GPT-6 Luna at $0.03 (3 of 9 tasks). It passed at least as often.

Cost per attempt divided by the share that passed, at the run date's prices, excluding judging. Each model at its cheapest setting per passing answer. With a handful of tasks, a pass or two either way is within chance. No estimate where a run had missing outputs, because their cost may not have been recorded.

How good is it, and for what?

Each use case ranks the available models its benchmarks measured, then those priced $3–10 per million tokens. The bar shows its percentile in that field, best to the right. Open a row for the results behind it.

Product listingsTurning a sparse product feed and photos into listings that can go live 13th of 30 available · 7th of 13 at its price
BenchmarkGemini 4 CarbonRank among availableBest available
CatalogBenchCatalogBench: reliably publish-ready 53.6% 11th of 30 GPT-6 Astra 75.0%
CatalogBenchCatalogBench (sales brief): reliably publish-ready 14.3% 15th of 30 GPT-6 Astra 69.6%
Decks from an analysisTurning a finished analysis into a deck you could present as it is 20th of 30 available · 10th of 14 at its price
BenchmarkGemini 4 CarbonRank among availableBest available
DeckBenchDeckBench: deck rating 1,021 20th of 30 GPT-6 Astra 1,587
User surveysPlanning a user survey and reading its results without being misled 11th of 21 available · 4th of 9 at its price
BenchmarkGemini 4 CarbonRank among availableBest available
SurveyBenchSurveyBench: analysis rating 1,076 11th of 21 Claude Fable 5.2 1,663
Marketing planningPlanning a year of ad spend without overspending 12th of 30 available · 6th of 13 at its price
BenchmarkGemini 4 CarbonRank among availableBest available
ROASBenchROASBench: overall score 51.2 12th of 30 Claude Fable 5.2 61.3
Agents and tool useMulti-step tasks with tools: support desks, coding agents, function calls PendingReleased after these sources last updated
  • tau2-bench: pending. Its latest results are dated 26 May 2026, before this model was released.
  • Berkeley Function Calling Leaderboard (BFCL) V4: pending. Its latest results are dated 16 Dec 2025, before this model was released.
  • OpenHands Index: pending. Its latest results are dated 30 Jun 2026, before this model was released.
  • Microsoft STATE-Bench: pending. Its latest results are dated 29 May 2026, before this model was released.
  • Artificial Analysis: pending. Its latest results are dated 9 Nov 2026, before this model was released.
  • Vending-Bench 2: pending. Its latest results are dated 1 Oct 2026, before this model was released.
Professional workReal tasks from banking, consulting and law, business documents and freelance projects PendingReleased after these sources last updated
  • APEX-Agents: pending. Its latest results are dated 1 Oct 2026, before this model was released.
  • GDP.pdf: pending. Its latest results are dated 1 Oct 2026, before this model was released.
  • Remote Labor Index: pending. Its latest results are dated 1 Oct 2026, before this model was released.
Reasoning and knowledgeHard questions across science, maths and general knowledge PendingReleased after these sources last updated
  • Artificial Analysis: pending. Its latest results are dated 20 Oct 2026, before this model was released.
WritingWhat people prefer in blind comparisons, and judged writing quality PendingReleased after these sources last updated
  • Arena (formerly LMArena): pending. Its latest results are dated 2 Oct 2026, before this model was released.
  • UGI Leaderboard: pending. Its latest results are dated 2 Oct 2026, before this model was released.
Sticking to the factsSummarising without inventing things, and factual answers PendingReleased after these sources last updated
  • Vectara Hallucination Leaderboard: pending. Its latest results are dated 22 Sep 2026, before this model was released.
  • Arena (formerly LMArena): pending. Its latest results are dated 2 Oct 2026, before this model was released.
  • SimpleQA Verified (Epoch AI): pending. Its latest results are dated 29 Sep 2026, before this model was released.
Speed under pressureGood decisions against a real clock (fast chess) 14th of 33 available · 8th of 13 at its price
BenchmarkGemini 4 CarbonRank among availableBest available
BulletBenchBulletBench Bullet 60s: ladder Elo 358 16th of 31 Gemini 3.8 Flash 1,068

Nearest alternatives

  • The most capable open-weights modelMiMo-V2.6-Pro$0.54 blended · Intelligence Index 46.3

Against Gemini 4 Carbon at $8.00 blended. "Similar intelligence" means within 4 points or better.

Against the alternatives

The models you would most likely weigh it against: the leaders of the groups above.

Scroll sideways to see every alternative.

Gemini 4 CarbonClaude Opus 5.5
highest-scoring overall at $3–10 per million tokens
Claude Fable 5.2
highest-scoring overall available today
Gemini 3.8 Flash
just above overall
DeepSeek-V4.1-Flash
just below overall
Price per million tokens $8.00 $8.00$16.00$3.00$0.52
Tokens a second – 96–141369
Intelligence Index – 57.6–40.939.5
Spring Prompt overall 54 82915851
Rank among available models, by use case
Product listings 13th of 30 12th5th19th14th
Decks from an analysis 20th of 30 5th3rd24th–
User surveys 11th of 21 4th1st14th–
Marketing planning 12th of 30 9th1st11th–
Agents and tool use pending 3rd–35th31st
Professional work pending 3rd–11th–
Reasoning and knowledge pending 1st–15th42nd
Writing pending 5th–3rd29th
Sticking to the facts pending 3rd–12th23rd
Speed under pressure 14th of 33 –7th11th–

Shaded figures are better than Gemini 4 Carbon's. A dash means no result.

Research and examples

In the playground: our pick in 0 of 23 tests, 84% of checks passed →

Where it has been measured

Among models available today, mid-field on every use case measured so far. Results for agents and tool use, professional work, reasoning and knowledge, writing, and sticking to the facts are pending: those sources last updated before this model was released.

Not timed: Artificial Analysis, our source for speed, has not tested it

Every result

95 published results from 5 sources, each in the source's own units, with the configuration that produced it.

BulletBench · measured by Spring Prompt · 15 results
MeasureValueRankConfigurationDated
BulletBench Blitz 3+2: cost per gameUS dollars, lower is better $0.0534 7 of 20 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
BulletBench Blitz 3+2: cost per gameUS dollars, lower is better $0.0730 9 of 20 Gemini 4 Carbon (low reasoning)
low reasoning
10 Nov 2026
BulletBench Blitz 3+2: games lost on time% of games, lower is better 62.5% 17 of 20 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
BulletBench Blitz 3+2: games lost on time% of games, lower is better 62.5% 17 of 20 Gemini 4 Carbon (low reasoning)
low reasoning
10 Nov 2026
BulletBench Blitz 3+2: invalid moves% of moves, lower is better 0.0% 1 of 20 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
BulletBench Blitz 3+2: invalid moves% of moves, lower is better 0.0% 1 of 20 Gemini 4 Carbon (low reasoning)
low reasoning
10 Nov 2026
BulletBench Blitz 3+2: ladder Eloladder Elo, higher is better 557
370–727
11 of 20 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
BulletBench Blitz 3+2: ladder Eloladder Elo, higher is better 848
577–1,079
5 of 20 Gemini 4 Carbon (low reasoning)
low reasoning
10 Nov 2026
BulletBench Blitz 3+2: median move timemilliseconds, lower is better 7.1 s 18 of 20 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
BulletBench Blitz 3+2: median move timemilliseconds, lower is better 4.0 s 8 of 20 Gemini 4 Carbon (low reasoning)
low reasoning
10 Nov 2026
BulletBench Bullet 60s: cost per gameUS dollars, lower is better $0.0167 31 of 50 Gemini 4 Carbon (low reasoning)
low reasoning
10 Nov 2026
BulletBench Bullet 60s: games lost on time% of games, lower is better 75.0% 34 of 50 Gemini 4 Carbon (low reasoning)
low reasoning
10 Nov 2026
BulletBench Bullet 60s: invalid moves% of moves, lower is better 0.0% 1 of 50 Gemini 4 Carbon (low reasoning)
low reasoning
10 Nov 2026
BulletBench Bullet 60s: ladder Eloladder Elo, higher is better 358
0–619
28 of 50 Gemini 4 Carbon (low reasoning)
low reasoning
10 Nov 2026
BulletBench Bullet 60s: median move timemilliseconds, lower is better 3.2 s 43 of 50 Gemini 4 Carbon (low reasoning)
low reasoning
10 Nov 2026

Not shown: Not your cost: prices are those charged on the run date.

CatalogBench · measured by Spring Prompt · 32 results
MeasureValueRankConfigurationDated
CatalogBench (sales brief): channel rules broken% of products, lower is better 0.0% 1 of 33 Gemini 4 Carbon
provider default reasoning
11 Nov 2026
CatalogBench (sales brief): claims to check% of products, lower is better 0.0% 1 of 30 Gemini 4 Carbon
provider default reasoning
11 Nov 2026
CatalogBench (sales brief): content quality% of checks, higher is better 98.4% 6 of 33 Gemini 4 Carbon
provider default reasoning
11 Nov 2026
CatalogBench (sales brief): failed outputs% of products, lower is better 0.0% 1 of 33 Gemini 4 Carbon
provider default reasoning
11 Nov 2026
CatalogBench (sales brief): missing UK information% of products, lower is better 0.0% 1 of 33 Gemini 4 Carbon
provider default reasoning
11 Nov 2026
CatalogBench (sales brief): not findable% of products, lower is better 2.4% 11 of 33 Gemini 4 Carbon
provider default reasoning
11 Nov 2026
CatalogBench (sales brief): publish-ready listings% of products, higher is better 31.0% 16 of 33 Gemini 4 Carbon
provider default reasoning
11 Nov 2026
CatalogBench (sales brief): reliably publish-ready% of products, higher is better 14.3% 15 of 32 Gemini 4 Carbon
provider default reasoning
11 Nov 2026
CatalogBench (sales brief): unsupported claims% of products, lower is better 65.5% 20 of 33 Gemini 4 Carbon
provider default reasoning
11 Nov 2026
CatalogBench (sales brief): unsupported claimsclaims per product, lower is better 2.10 19 of 33 Gemini 4 Carbon
provider default reasoning
11 Nov 2026
CatalogBench (sales brief): wrong attributes% of products, lower is better 14.3% 5 of 33 Gemini 4 Carbon
provider default reasoning
11 Nov 2026
CatalogBench (sales brief): wrong category or variant% of products, lower is better 1.8% 6 of 33 Gemini 4 Carbon
provider default reasoning
11 Nov 2026
CatalogBench: channel compliance% of products, higher is better 100.0% 1 of 33 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
CatalogBench: channel rules broken% of products, lower is better 0.0% 1 of 33 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
CatalogBench: claims to check% of products, lower is better 0.0% 1 of 30 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
CatalogBench: conflicts caught% of conflicts, higher is better 100.0% 1 of 33 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
CatalogBench: content quality% of checks, higher is better 97.3% 14 of 33 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
CatalogBench: cost per productUS dollars, lower is better $0.0213 23 of 33 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
CatalogBench: decision accuracy% of decisions, higher is better 97.0% 12 of 33 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
CatalogBench: failed outputs% of products, lower is better 1.2% 27 of 33 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
CatalogBench: field accuracy% of missing fields, higher is better 94.9% 5 of 33 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
CatalogBench: invented values% of filled values, lower is better 0.0% 1 of 33 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
CatalogBench: missing UK information% of products, lower is better 0.0% 1 of 33 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
CatalogBench: not findable% of products, lower is better 1.8% 5 of 33 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
CatalogBench: output tokens per producttokens, lower is better 1,600 4 of 10 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
CatalogBench: publish-ready listings% of products, higher is better 69.6% 12 of 33 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
CatalogBench: reliably publish-ready% of products, higher is better 53.6% 11 of 32 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
CatalogBench: time per productseconds, lower is better 45.3 27 of 33 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
CatalogBench: unsupported claims% of products, lower is better 17.3% 17 of 33 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
CatalogBench: unsupported claimsclaims per product, lower is better 0.36 10 of 33 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
CatalogBench: wrong attributes% of products, lower is better 11.3% 2 of 33 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
CatalogBench: wrong category or variant% of products, lower is better 0.6% 2 of 33 Gemini 4 Carbon
provider default reasoning
10 Nov 2026

Not shown: Not your catalogue: invented products with generated images, so a model's result on your own feed can differ.

DeckBench · measured by Spring Prompt · 18 results
MeasureValueRankConfigurationDated
DeckBench: accurate decks% of tasks, higher is better 33.3% 19 of 32 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
DeckBench: caveat dropped% of tasks, lower is better 0.0% 1 of 32 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
DeckBench: clean layout% of tasks, higher is better 33.3% 16 of 32 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
DeckBench: cost per deckUS dollars, lower is better $0.16 23 of 32 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
DeckBench: deck ratingrating, higher is better 1,021
872–1,157
21 of 32 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
DeckBench: design quality% of the maximum, higher is better 59.8% 20 of 32 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
DeckBench: draft figure quoted% of tasks, lower is better 33.3% 17 of 32 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
DeckBench: findings missing% of tasks, lower is better 0.0% 1 of 32 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
DeckBench: head-to-head win rate% of comparisons, higher is better 39.4% 25 of 32 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
DeckBench: layout defects% of tasks, lower is better 66.7% 16 of 32 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
DeckBench: misleading metric used% of tasks, lower is better 0.0% 1 of 32 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
DeckBench: output tokens per decktokens, lower is better 15,626 2 of 11 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
DeckBench: presentable decks% of tasks, higher is better 16.7% 12 of 32 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
DeckBench: recommendation late or wrong% of tasks, lower is better 0.0% 1 of 32 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
DeckBench: slides needing work% of tasks, lower is better 66.7% 22 of 32 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
DeckBench: time per deckseconds, lower is better 228 24 of 32 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
DeckBench: unsupported claims% of tasks, lower is better 33.3% 23 of 32 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
DeckBench: unsupported numbers% of tasks, lower is better 0.0% 1 of 32 Gemini 4 Carbon
provider default reasoning
10 Nov 2026

Not shown: Not your analysis or your brand: invented companies, six public tasks, one deck per model per task at the provider's default reasoning setting.

ROASBench · measured by Spring Prompt · 9 results
MeasureValueRankConfigurationDated
ROASBench: audience scorescore out of 100, higher is better 66.4 11 of 33 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
ROASBench: business scorescore out of 100, higher is better 50.1 12 of 33 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
ROASBench: consistency scorescore out of 100, higher is better 38.1 5 of 33 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
ROASBench: contribution profitsimulated US dollars, higher is better $789,366 6 of 33 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
ROASBench: cost of a runUS dollars, lower is better $0.52 25 of 33 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
ROASBench: months over budgetmonths of 12, lower is better 0 1 of 33 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
ROASBench: overall scorescore out of 100, higher is better 51.2 12 of 33 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
ROASBench: planning scorescore out of 100, higher is better 55.0 6 of 33 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
ROASBench: return on ad spendprofit per $1 spent, higher is better $0.65 9 of 33 Gemini 4 Carbon
provider default reasoning
10 Nov 2026

Not shown: Not real ad performance: the market is a deterministic simulation of one invented skincare brand.

SurveyBench · measured by Spring Prompt · 21 results
MeasureValueRankConfigurationDated
SurveyBench: analysis ratingrating, higher is better 1,076
982–1,178
11 of 23 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
SurveyBench: analysis scorepoints of 100, higher is better 84.9 10 of 23 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
SurveyBench: cost per taskUS dollars, lower is better $0.31 17 of 22 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
SurveyBench: head-to-head win rate% of comparisons, higher is better 49.4% 12 of 23 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
SurveyBench: leading or double-barrelled questions% of tasks, lower is better 55.6% 16 of 23 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
SurveyBench: mistaken next steps% of tasks, lower is better 22.2% 9 of 23 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
SurveyBench: numbers right% of answers, higher is better 100.0% 1 of 23 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
SurveyBench: objectives unanswerable% of tasks, lower is better 0.0% 1 of 23 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
SurveyBench: output tokens per tasktokens, lower is better 27,760 5 of 12 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
SurveyBench: precision ignored% of tasks, lower is better 11.1% 11 of 23 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
SurveyBench: research scorepoints of 100, higher is better 87.0 10 of 23 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
SurveyBench: sound research% of tasks, higher is better 11.1% 10 of 23 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
SurveyBench: stakeholder's view presumed% of tasks, lower is better 11.1% 9 of 23 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
SurveyBench: survey plan scorepoints of 100, higher is better 92.0 11 of 23 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
SurveyBench: survey structure% of tasks, lower is better 11.1% 3 of 23 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
SurveyBench: time per taskseconds, lower is better 390 19 of 22 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
SurveyBench: traps handled% of traps, higher is better 92.8% 11 of 23 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
SurveyBench: traps missed% of tasks, lower is better 44.4% 10 of 23 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
SurveyBench: unsupported findings% of tasks, lower is better 77.8% 12 of 23 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
SurveyBench: wrong numbers% of tasks, lower is better 0.0% 1 of 23 Gemini 4 Carbon
provider default reasoning
10 Nov 2026
SurveyBench: wrong recommendation% of tasks, lower is better 22.2% 12 of 23 Gemini 4 Carbon
provider default reasoning
10 Nov 2026

Not shown: Not your customers or your data: invented organisations with simulated respondents, nine public tasks, one run per model per task at the provider's default reasoning setting.

Embed a score badge

A badge for its Spring Prompt Score and each of our benchmarks that ranked Gemini 4 Carbon, from the current results. Paste the code into a page or README; it links back to where the result comes from.

Gemini 4 Carbon is #12 of 30 on the Spring Prompt Score (52 of 100, from 5 of 5 of our benchmarks), measured by Spring Prompt Spring Prompt Score · 5 of 5 benchmarks
<a href="https://springprompt.com/score#google-gemini-4-carbon"><img src="https://springprompt.com/badge/score/google-gemini-4-carbon.svg" alt="Gemini 4 Carbon is #12 of 30 on the Spring Prompt Score (52 of 100, from 5 of 5 of our benchmarks), measured by Spring Prompt" height="20"></a>
Gemini 4 Carbon is #11 of 30 on CatalogBench (Reliably publish-ready, factual brief: 53.6%), measured by Spring Prompt CatalogBench · Reliably publish-ready, factual brief
<a href="https://springprompt.com/benchmarks/catalogbench?focus=google-gemini-4-carbon"><img src="https://springprompt.com/badge/catalogbench/google-gemini-4-carbon.svg" alt="Gemini 4 Carbon is #11 of 30 on CatalogBench (Reliably publish-ready, factual brief: 53.6%), measured by Spring Prompt" height="20"></a>
Gemini 4 Carbon is #20 of 31 on DeckBench (Deck rating: 1,021), measured by Spring Prompt DeckBench · Deck rating
<a href="https://springprompt.com/benchmarks/deckbench?focus=google-gemini-4-carbon"><img src="https://springprompt.com/badge/deckbench/google-gemini-4-carbon.svg" alt="Gemini 4 Carbon is #20 of 31 on DeckBench (Deck rating: 1,021), measured by Spring Prompt" height="20"></a>
Gemini 4 Carbon is #11 of 22 on SurveyBench (Analysis rating: 1,076), measured by Spring Prompt SurveyBench · Analysis rating
<a href="https://springprompt.com/benchmarks/surveybench?focus=google-gemini-4-carbon"><img src="https://springprompt.com/badge/surveybench/google-gemini-4-carbon.svg" alt="Gemini 4 Carbon is #11 of 22 on SurveyBench (Analysis rating: 1,076), measured by Spring Prompt" height="20"></a>
Gemini 4 Carbon is #12 of 31 on ROASBench (Score: 51.2), measured by Spring Prompt ROASBench · Score
<a href="https://springprompt.com/benchmarks/roasbench?focus=google-gemini-4-carbon"><img src="https://springprompt.com/badge/roasbench/google-gemini-4-carbon.svg" alt="Gemini 4 Carbon is #12 of 31 on ROASBench (Score: 51.2), measured by Spring Prompt" height="20"></a>
Gemini 4 Carbon is #24 of 39 on BulletBench (Ladder Elo: 358), measured by Spring Prompt BulletBench · Ladder Elo
<a href="https://springprompt.com/benchmarks/bulletbench?focus=google-gemini-4-carbon"><img src="https://springprompt.com/badge/bulletbench/google-gemini-4-carbon.svg" alt="Gemini 4 Carbon is #24 of 39 on BulletBench (Ladder Elo: 358), measured by Spring Prompt" height="20"></a>

Test Gemini 4 Carbon on your own prompt.

Benchmarks aren't your task. Run it next to cheaper and newer models on your prompt, with every answer checked and costed.