Compare / Claude Haiku 5.5 vs GPT-6 Luna

Claude Haiku 5.5 vs GPT-6 Luna

Which is cheaper, which is more capable, and which does better at each kind of work, from 72 results on 5 sources that measured both models.

Results as of 8 October 2026 (catalogue release 2026-10-08-4199ce0620fe).

Claude Haiku 5.5
Anthropic · profile
GPT-6 Luna
OpenAI · profile
Results compared
72
Shared sources
5

Claude Haiku 5.5 or GPT-6 Luna? The short answer

They score about the same, so pick GPT-6 Luna: it costs 2.5 times less per product listing on CatalogBench. Pick Claude Haiku 5.5 if speed matters: it writes faster.

  • Spring Prompt overall: Claude Haiku 5.5 44, GPT-6 Luna 40 (out of 100; how the score works).
  • GPT-6 Luna is cheaper to run: $0.000 against $0.001 per product listing on CatalogBench (2.5 times less).
  • Claude Haiku 5.5 scores higher on the Artificial Analysis Intelligence Index: 43.4 against 38.1.
  • Claude Haiku 5.5 writes faster: 235 tokens a second against 127.
  • Claude Haiku 5.5 is newer: released 7 Oct 2026, against 22 Sep 2026 for GPT-6 Luna.
  • On our own benchmarks, on the results both models have: GPT-6 Luna does better for product listings and marketing planning.
  • On third-party benchmarks, on the results both models have: Claude Haiku 5.5 does better for agents and tool use and reasoning and knowledge.

At a glance

Claude Haiku 5.5GPT-6 Luna
Price per million tokens$0.10 in · $0.50 out$0.10 in · $0.50 out
Blended (3 in : 1 out)$0.20$0.20
Cheapest host, blended–$0.20 (Azure)
Cost per product listing (CatalogBench)$0.001$0.000
Cached input, per million–$0.010 cached input
Intelligence Index43.438.1
Spring Prompt overall4440
Output speed, tokens a second235127
Context window1,000,000 tokens1,050,000 tokens
Released7 Oct 2026 (newer)22 Sep 2026
WeightsClosedClosed
Developer based inthe USthe US

Prices are the developer's list price where we have read it, otherwise the typical host on OpenRouter; see every model's price. Intelligence and speed from Artificial Analysis.

Which is better for what

Each model's rank among models available today, for each kind of work, from our own benchmarks and licensed sources. The better rank is in green.

Use caseClaude Haiku 5.5GPT-6 Luna
Product listingsTurning a sparse product feed and photos into listings that can go live 11 of 20 5 of 20
Decks from an analysisTurning a finished analysis into a deck you could present as it is 10 of 19 7 of 19
User surveysPlanning a user survey and reading its results without being misled 3 of 8 not measured
Marketing planningPlanning a year of ad spend without overspending 17 of 19 3 of 19
Agents and tool useMulti-step tasks with tools: support desks, coding agents, function calls 20 of 164 43 of 164
Professional workReal tasks from banking, consulting and law, business documents and freelance projects not measured 25 of 51
Reasoning and knowledgeHard questions across science, maths and general knowledge 19 of 198 40 of 198
WritingWhat people prefer in blind comparisons, and judged writing quality not measured 60 of 188
Sticking to the factsSummarising without inventing things, and factual answers not measured 94 of 152
Speed under pressureGood decisions against a real clock (fast chess) 15 of 22 17 of 22

Their slides, side by side

The same brief for both: Manchester store investment review for Hearthside Coffee, an invented company. First slide of each deck from DeckBench.

First slide of Claude Haiku 5.5's deck for Hearthside Coffee
Claude Haiku 5.5 · deck rating 1,130 · needs work
First slide of GPT-6 Luna's deck for Hearthside Coffee
GPT-6 Luna · deck rating 1,259 · needs work

Every slide, side by side →

From our research

Every shared result

Each model's best result on every measure both have, grouped by benchmark, with the setting that produced it. The headline measures of each benchmark come first; the rest are under "Show all". Green marks the better value; where a source reports ranges that overlap, neither is marked.

MeasureClaude Haiku 5.5GPT-6 Luna
BulletBench measured by Spring Prompt · 3 results
Cost per game · Blitz 3+2US dollars, lower is better $0.0164 $0.0072
Cost per game · Bullet 60sUS dollars, lower is better $0.0019no reasoning $0.0016no reasoning
Ladder Elo · Bullet 60sladder Elo, higher is better 310no reasoning 249no reasoning
CatalogBench measured by Spring Prompt · 3 results
Cost per productUS dollars, lower is better $0.0012 $0.0005
Reliably publish-ready% of products, higher is better 26.8% 55.4%
Reliably publish-ready · sales brief% of products, higher is better 10.7% 51.8%
DeckBench measured by Spring Prompt · 3 results
Cost per deckUS dollars, lower is better $0.0091 $0.0087
Deck ratingrating, higher is betterThe rating weighs each win by how strong the other deck was; the win rate counts wins against whichever decks a model happened to meet, so the two can disagree. 1,130 1,259
Accurate decks% of tasks, higher is better 33.3% 50.0%
ROASBench measured by Spring Prompt · 3 results
Overall scorescore out of 100, higher is better 24.1 53.4
Audience scorescore out of 100, higher is better 48.4 68.3
Business scorescore out of 100, higher is better 13.5 54.8
Artificial Analysis reported by Artificial Analysis · 3 results
Artificial Analysis Intelligence Indexindex score, higher is better 43.4max reasoning 38.1max reasoning
Humanity's Last Exam% of questions, higher is better 44.4%max reasoning 38.5%max reasoning
Terminal-Bench 4.0% of tasks, higher is better 32.8%max reasoning 12.6%max reasoning
Show all 72 results (57 more)
MeasureClaude Haiku 5.5GPT-6 Luna
BulletBench measured by Spring Prompt · 7 results
Games lost on time · Blitz 3+2% of games, lower is better 37.5% 50.0%
Games lost on time · Bullet 60s% of games, lower is better 37.5%no reasoning 50.0%no reasoning
Invalid moves · Blitz 3+2% of moves, lower is better 0.0% 0.0%
Invalid moves · Bullet 60s% of moves, lower is better 0.0%no reasoning 0.0%no reasoning
Ladder Elo · Blitz 3+2ladder Elo, higher is better 557 557
Median move time · Blitz 3+2milliseconds, lower is better 6.2 s 7.0 s
Median move time · Bullet 60smilliseconds, lower is better 1.7 sno reasoning 1.5 sno reasoning
CatalogBench measured by Spring Prompt · 27 results
Channel compliance% of products, higher is better 100.0% 100.0%
Channel rules broken% of products, lower is better 0.6% 0.0%
Channel rules broken · sales brief% of products, lower is better 0.0% 0.0%
Claims to check% of products, lower is better 0.6% 0.0%
Claims to check · sales brief% of products, lower is better 1.2% 0.0%
Conflicts caught% of conflicts, higher is better 100.0% 100.0%
Content quality% of checks, higher is better 95.6% 97.0%
Content quality · sales brief% of checks, higher is better 96.3% 97.4%
Decision accuracy% of decisions, higher is better 95.6% 97.0%
Failed outputs% of products, lower is better 0.0% 0.0%
Failed outputs · sales brief% of products, lower is better 0.0% 0.0%
Field accuracy% of missing fields, higher is better 91.0% 93.7%
Invented values% of filled values, lower is better 0.8% 1.7%
Missing UK information% of products, lower is better 0.0% 0.0%
Missing UK information · sales brief% of products, lower is better 0.0% 0.0%
Not findable% of products, lower is better 11.9% 10.1%
Not findable · sales brief% of products, lower is better 10.7% 10.1%
Publish-ready listings% of products, higher is better 47.0% 67.9%
Publish-ready listings · sales brief% of products, higher is better 20.2% 67.9%
Unsupported claims% of products, lower is better 32.1% 8.9%
Unsupported claimsclaims per product, lower is better 1.20 0.31
Unsupported claims · sales brief% of products, lower is better 70.2% 8.3%
Unsupported claims · sales briefclaims per product, lower is better 2.46 0.35
Wrong attributes% of products, lower is better 19.6% 18.5%
Wrong attributes · sales brief% of products, lower is better 18.5% 19.1%
Wrong category or variant% of products, lower is better 0.0% 1.8%
Wrong category or variant · sales brief% of products, lower is better 0.0% 0.0%
DeckBench measured by Spring Prompt · 13 results
Caveat dropped% of tasks, lower is better 16.7% 0.0%
Clean layout% of tasks, higher is better 66.7% 66.7%
Design quality% of the maximum, higher is better 61.1% 78.1%
Draft figure quoted% of tasks, lower is better 33.3% 33.3%
Findings missing% of tasks, lower is better 16.7% 0.0%
Head-to-head win rate% of comparisons, higher is betterThe rating weighs each win by how strong the other deck was; the win rate counts wins against whichever decks a model happened to meet, so the two can disagree. 50.0% 62.3%
Layout defects% of tasks, lower is better 33.3% 33.3%
Misleading metric used% of tasks, lower is better 16.7% 0.0%
Presentable decks% of tasks, higher is better 33.3% 0.0%
Recommendation late or wrong% of tasks, lower is better 33.3% 16.7%
Slides needing work% of tasks, lower is better 16.7% 16.7%
Unsupported claims% of tasks, lower is better 33.3% 0.0%
Unsupported numbers% of tasks, lower is better 16.7% 0.0%
ROASBench measured by Spring Prompt · 6 results
Consistency scorescore out of 100, higher is better 10.6 35.8
Contribution profitsimulated US dollars, higher is better $32,146 $738,879
Cost of a runUS dollars, lower is better $0.0313 $0.0142
Months over budgetmonths of 12, lower is better 0 0
Planning scorescore out of 100, higher is better 54.8 54.8
Return on ad spendprofit per $1 spent, higher is better $0.03 $0.66
Artificial Analysis reported by Artificial Analysis · 4 results
Long-context reasoning (AA-LCR)% of questions, higher is better 82.7%max reasoning 83.3%max reasoning
Output speedtokens per second, higher is better 235max reasoning 127max reasoning
SciCode% of problems, higher is better 55.0%max reasoning 54.6%max reasoning
Time to first answer tokenseconds, lower is better 5.08low reasoning 0.82no reasoning

Quick answers

Is Claude Haiku 5.5 better than GPT-6 Luna?

They score about the same, so pick GPT-6 Luna: it costs 2.5 times less per product listing on CatalogBench. Pick Claude Haiku 5.5 if speed matters: it writes faster.

Which is cheaper, Claude Haiku 5.5 or GPT-6 Luna?

GPT-6 Luna is cheaper to run: $0.000 against $0.001 per product listing on CatalogBench (2.5 times less).

Which is faster, Claude Haiku 5.5 or GPT-6 Luna?

Claude Haiku 5.5 writes about 235 tokens a second on its usual API, against 127 for GPT-6 Luna (Artificial Analysis).

Run Claude Haiku 5.5 and GPT-6 Luna on your own prompt

Benchmarks aren't your data. Try both side by side in the playground, with the cost of every answer.