Compare / Google vs Meta

AI labs compared · October 2026

Google vs Meta: which AI lab is ahead?

Each lab's best model on sale goes head to head on every kind of work we measure, from our own benchmarks and licensed sources. 25 models in all; a lab is only as good as the model you would actually pick from it.

16 models on sale with our resultsGoogle Best: Gemini 3.8 Flash · newest: Gemini 3.8 Flash
9 models on sale with our resultsMeta Best: Muse Spark 1.3 · newest: Muse Spark 1.3
Google wins 6Meta wins 3

Kinds of work led by each lab's best model there, of the 9 both are measured on.

Results as of 8 October 2026 (catalogue release 2026-10-08-4199ce0620fe). Models on sale means listed on OpenRouter today.

Google or Meta? The short answer

Google is ahead: its best models beat Meta's in 6 of the 9 kinds of work both are measured on; Meta leads in 3.

  • Pick Google for product listings, decks from an analysis, marketing planning, writing, sticking to the facts and speed under pressure.
  • Pick Meta for agents and tool use, professional work and reasoning and knowledge.
  • On our overall leaderboard, Muse Spark 1.3 is #6 (65 of 100) and Gemini 3.8 Flash is #8 (61).
  • Prices start at $0.062 per million tokens for Google (Gemma 3 4B) and $0.058 for Meta (Llama 3.1 8B Instruct).

Head to head

61Gemini 3.8 Flash
Best Spring Prompt overall score
65Muse Spark 1.3
40.9Gemini 3.8 Flash
Best Intelligence Index
48.1Muse Spark 1.3
$3.00Gemini 3.8 Flash
Flagship price, per million tokens
$2.00Muse Spark 1.3
$0.062Gemma 3 4B
Cheapest model, per million tokens
$0.058Llama 3.1 8B Instruct
16
Models on sale with our results
9

Each line names the model behind the number. Prices are blended, three input tokens to one output, at the developer's list price where we have read it; see every model's price. Intelligence Index from Artificial Analysis; overall score from our leaderboard.

Which lab is better for what

For each kind of work, each lab's best model there and its rank among every model on sale. Further right is better; the better rank is in green.

Product listingsTurning a sparse product feed and photos into listings that can go live 8 of 20Gemini 3.1 Pro Preview 9 of 20Muse Spark 1.3
Decks from an analysisTurning a finished analysis into a deck you could present as it is 12 of 19Gemini 3.8 Flash 14 of 19Muse Spark 1.3
User surveysPlanning a user survey and reading its results without being misled 5 of 8Gemini 3.1 Pro Preview not measured
Marketing planningPlanning a year of ad spend without overspending 7 of 19Gemini 3.8 Flash 12 of 19Muse Spark 1.3
Agents and tool useMulti-step tasks with tools: support desks, coding agents, function calls 29 of 164Gemini 3.7 Flash 9 of 164Muse Spark 1.3
Professional workReal tasks from banking, consulting and law, business documents and freelance projects 11 of 51Gemini 3.8 Flash 8 of 51Muse Spark 1.3
Reasoning and knowledgeHard questions across science, maths and general knowledge 12 of 198Gemini 3.8 Flash 8 of 198Muse Spark 1.3
WritingWhat people prefer in blind comparisons, and judged writing quality 2 of 188Gemini 3.8 Flash 5 of 188Muse Spark 1.3
Sticking to the factsSummarising without inventing things, and factual answers 1 of 152Gemini 2.5 Flash-Lite 11 of 152Muse Spark 1.3
Speed under pressureGood decisions against a real clock (fast chess) 2 of 22Gemini 3.5 Flash-Lite 19 of 22Muse Spark 1.3

Every model, by intelligence and price

Each dot is a model on sale with an Intelligence Index from Artificial Analysis. Up is smarter; left is cheaper. Hover or tap a dot for its name.

GoogleMeta

0204060 $0.01$0.1$1$10 Price per million tokens, blended (log scale) Intelligence Index Gemini 3.8 FlashGemini 3.7 FlashGemini 3.6 FlashMuse Spark 1.3Muse Spark 1.2Muse Spark 1.1

On our overall leaderboard

The 4 of their models we rank overall: one score out of 100 across everything we publish (how the score works). Only models with enough of our own results are ranked.

  1. #6Muse Spark 1.365
  2. #8Gemini 3.8 Flash61
  3. #10Gemini 3.1 Pro Preview50
  4. #19Gemini 3.5 Flash-Lite27

Benchmark by benchmark

The headline result of every benchmark both labs have models on: each lab's best model and its rank among the models on sale. Green marks the better rank.

MeasureGoogleMeta
Agents and tool use
Berkeley Function Calling Leaderboard (BFCL) V4 · Overall accuracy · BFCL% correct, higher is better 56.2%Gemini 2.5 Flash · 8 of 3831.9%Llama 3.3 70B Instruct · 26 of 38
Artificial Analysis · Terminal-Bench 4.0% of tasks, higher is better 19.7%Gemini 3.8 Flash · 23 of 10533.3%Muse Spark 1.3 · 14 of 105
Artificial Analysis · Terminal-Bench 2.1% of tasks, higher is better 87.6%Gemini 3.8 Flash · 8 of 11585.4%Muse Spark 1.3 · 10 of 115
Artificial Analysis · τ-bench banking% of tasks, higher is better 45.8%Gemini 3.8 Flash · 10 of 11350.5%Muse Spark 1.3 · 2 of 113
Vending-Bench 2 · Money after a yearUS dollars, higher is better $5,396Gemini 3.5 Flash · 22 of 56$6,520Muse Spark 1.1 · 13 of 56
Decks from an analysis
DeckBench · Deck ratingrating, higher is better 894Gemini 3.8 Flash · 12 of 19821Muse Spark 1.3 · 14 of 19
Marketing planning
ROASBench · Overall scorescore out of 100, higher is better 51.4Gemini 3.8 Flash · 7 of 1934.1Muse Spark 1.3 · 12 of 19
Product listings
CatalogBench · Reliably publish-ready% of products, higher is better 44.6%Gemini 3.1 Pro Preview · 8 of 2048.2%Muse Spark 1.3 · 7 of 20
CatalogBench · Reliably publish-ready · sales brief% of products, higher is better 16.1%Gemini 3.1 Pro Preview · 8 of 2010.7%Muse Spark 1.3 · 9 of 20
Professional work
APEX-Agents · Tasks passed% of tasks, higher is better 67.8%Gemini 3.7 Flash · 4 of 3757.8%Muse Spark 1.3 · 12 of 37
GDP.pdf · Professional document tasks% of rubric, higher is better 23.8%Gemini 3.7 Flash · 11 of 3127.6%Muse Spark 1.3 · 5 of 31
Reasoning and knowledge
Artificial Analysis · Artificial Analysis Intelligence Indexindex score, higher is better 40.9Gemini 3.8 Flash · 21 of 19848.1Muse Spark 1.3 · 8 of 198
Artificial Analysis · Humanity's Last Exam% of questions, higher is better 47.9%Gemini 3.7 Flash · 12 of 19748.7%Muse Spark 1.3 · 10 of 197
Artificial Analysis · GPQA Diamond% of questions, higher is better 95.3%Gemini 3.8 Flash · 2 of 18794.1%Muse Spark 1.3 · 5 of 187
Speed under pressure
BulletBench · Ladder Elo · Bullet 60sladder Elo, higher is better 1,068Gemini 3.8 Flash · 1 of 2033Muse Spark 1.3 · 17 of 20
Sticking to the facts
Vectara Hallucination Leaderboard · Hallucination rate · Vectara% of summaries, lower is better 3.3%Gemini 2.5 Flash-Lite · 2 of 797.7%Llama 4 Scout · 27 of 79
Arena (formerly LMArena) · Overall · Text factualityArena rating, higher is better 1,477Gemini 3.7 Flash · 12 of 1131,483Muse Spark 1.2 · 9 of 113
SimpleQA Verified (Epoch AI) · Correct answers% of questions, higher is better 73.5%Gemini 3.1 Pro Preview · 3 of 7360.3%Muse Spark 1.2 · 15 of 73
Writing
Arena (formerly LMArena) · Overall · TextArena rating, higher is better 1,495Gemini 3.8 Flash · 6 of 1661,494Muse Spark 1.3 · 7 of 166
UGI Leaderboard · Writing score · UGIscore out of 100, higher is better 78.6Gemini 3.8 Flash · 1 of 13826.7Llama 4 Scout · 120 of 138

Their models, one against one

Quick answers

Is Google or Meta better?

Google is ahead: its best models beat Meta's in 6 of the 9 kinds of work both are measured on; Meta leads in 3.

What is Google's best model?

Gemini 3.8 Flash: #8 on the Spring Prompt overall leaderboard and 40.9 on the Artificial Analysis Intelligence Index.

What is Meta's best model?

Muse Spark 1.3: #6 on the Spring Prompt overall leaderboard and 48.1 on the Artificial Analysis Intelligence Index.

Which is better for agents and tool use, Google or Meta?

Meta: its best model there, Muse Spark 1.3, ranks 9 of 164 models on sale, against 29 for Google's Gemini 3.7 Flash.

Which is better for reasoning and knowledge, Google or Meta?

Meta: its best model there, Muse Spark 1.3, ranks 8 of 198 models on sale, against 12 for Google's Gemini 3.8 Flash.

Which is better for writing, Google or Meta?

Google: its best model there, Gemini 3.8 Flash, ranks 2 of 188 models on sale, against 5 for Meta's Muse Spark 1.3.

Which is cheaper, Google or Meta?

Meta's cheapest model with results, Llama 3.1 8B Instruct, costs $0.058 per million tokens (three input to one output), against $0.062 for Gemma 3 4B from Google.

Other labs compared

Which model is best for your product?

Benchmarks aren't your data. We test the models from Google, Meta and the rest on your own tasks, with the cost of every answer.

Talk to usSee the leaderboard