Compare / Meta vs OpenAI

AI labs compared · October 2026

Meta vs OpenAI: 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. 36 models in all; a lab is only as good as the model you would actually pick from it.

9 models on sale with our resultsMeta Best: Muse Spark 1.3 · newest: Muse Spark 1.3

27 models on sale with our resultsOpenAI Best: GPT-6.1 Sol · newest: GPT-6.1 Sol

Meta wins 2OpenAI wins 7

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.

Meta or OpenAI? The short answer

OpenAI is ahead: its best models beat Meta's in 7 of the 9 kinds of work both are measured on; Meta leads in 2.

Pick Meta for writing and sticking to the facts.
Pick OpenAI for product listings, decks from an analysis, marketing planning, agents and tool use, professional work, reasoning and knowledge and speed under pressure.
On our overall leaderboard, GPT-6.1 Sol is #2 (81 of 100) and Muse Spark 1.3 is #6 (65).
Prices start at $0.058 per million tokens for Meta (Llama 3.1 8B Instruct) and $0.060 for OpenAI (gpt-oss-20b).

Head to head

65Muse Spark 1.3

Best Spring Prompt overall score

81GPT-6.1 Sol

48.1Muse Spark 1.3

Best Intelligence Index

52.7GPT-6 Astra

$2.00Muse Spark 1.3

Flagship price, per million tokens

$4.00GPT-6.1 Sol

$0.058Llama 3.1 8B Instruct

Cheapest model, per million tokens

$0.060gpt-oss-20b

Models on sale with our results

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

9 of 20Muse Spark 1.3 1 of 20GPT-6 Astra

Decks from an analysisTurning a finished analysis into a deck you could present as it is

14 of 19Muse Spark 1.3 1 of 19GPT-6 Astra

User surveysPlanning a user survey and reading its results without being misled

not measured 1 of 8GPT-6.1 Sol

Marketing planningPlanning a year of ad spend without overspending

12 of 19Muse Spark 1.3 1 of 19GPT-6 Astra

Agents and tool useMulti-step tasks with tools: support desks, coding agents, function calls

9 of 164Muse Spark 1.3 3 of 164GPT-6.1 Sol

Professional workReal tasks from banking, consulting and law, business documents and freelance projects

8 of 51Muse Spark 1.3 1 of 51GPT-5.6 Sol

Reasoning and knowledgeHard questions across science, maths and general knowledge

8 of 198Muse Spark 1.3 3 of 198GPT-6 Astra

WritingWhat people prefer in blind comparisons, and judged writing quality

5 of 188Muse Spark 1.3 14 of 188GPT-5.5

Sticking to the factsSummarising without inventing things, and factual answers

11 of 152Muse Spark 1.3 18 of 152GPT-6.1 Sol

Speed under pressureGood decisions against a real clock (fast chess)

19 of 22Muse Spark 1.3 10 of 22GPT-6 Sol

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.

MetaOpenAI

On our overall leaderboard

The 5 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.

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.

Measure	Meta	OpenAI
Agents and tool use
Berkeley Function Calling Leaderboard (BFCL) V4 · Overall accuracy · BFCL% correct, higher is better	31.9%Llama 3.3 70B Instruct · 26 of 38	63.1%o3 · 5 of 38
Artificial Analysis · Terminal-Bench 4.0% of tasks, higher is better	33.3%Muse Spark 1.3 · 14 of 105	59.6%GPT-6 Astra · 2 of 105
Artificial Analysis · Terminal-Bench 2.1% of tasks, higher is better	85.4%Muse Spark 1.3 · 10 of 115	89.9%GPT-6 Astra · 2 of 115
Artificial Analysis · τ-bench banking% of tasks, higher is better	50.5%Muse Spark 1.3 · 2 of 113	44.3%GPT-5.6 Sol · 12 of 113
Vending-Bench 2 · Money after a yearUS dollars, higher is better	$6,520Muse Spark 1.1 · 13 of 56	$15,515GPT-6 Astra · 1 of 56
Decks from an analysis
DeckBench · Deck ratingrating, higher is better	821Muse Spark 1.3 · 14 of 19	1,477GPT-6 Astra · 1 of 19
Marketing planning
ROASBench · Overall scorescore out of 100, higher is better	34.1Muse Spark 1.3 · 12 of 19	56.6GPT-6 Astra · 1 of 19
Product listings
CatalogBench · Reliably publish-ready% of products, higher is better	48.2%Muse Spark 1.3 · 7 of 20	75.0%GPT-6.1 Sol · 1 of 20
CatalogBench · Reliably publish-ready · sales brief% of products, higher is better	10.7%Muse Spark 1.3 · 9 of 20	69.6%GPT-6 Astra · 1 of 20
Professional work
APEX-Agents · Tasks passed% of tasks, higher is better	57.8%Muse Spark 1.3 · 12 of 37	64.7%GPT-6 Astra · 7 of 37
GDP.pdf · Professional document tasks% of rubric, higher is better	27.6%Muse Spark 1.3 · 5 of 31	30.7%GPT-5.6 Sol · 1 of 31
Reasoning and knowledge
Artificial Analysis · Artificial Analysis Intelligence Indexindex score, higher is better	48.1Muse Spark 1.3 · 8 of 198	52.7GPT-6 Astra · 4 of 198
Artificial Analysis · Humanity's Last Exam% of questions, higher is better	48.7%Muse Spark 1.3 · 10 of 197	54.7%GPT-6 Astra · 6 of 197
Artificial Analysis · GPQA Diamond% of questions, higher is better	94.1%Muse Spark 1.3 · 5 of 187	96.3%GPT-6 Astra · 1 of 187
Speed under pressure
BulletBench · Ladder Elo · Bullet 60sladder Elo, higher is better	33Muse Spark 1.3 · 17 of 20	445GPT-6 Sol · 10 of 20
Sticking to the facts
Vectara Hallucination Leaderboard · Hallucination rate · Vectara% of summaries, lower is better	7.7%Llama 4 Scout · 27 of 79	3.1%GPT-5.4 nano · 1 of 79
Arena (formerly LMArena) · Overall · Text factualityArena rating, higher is better	1,483Muse Spark 1.2 · 9 of 113	1,486GPT-5.5 · 5 of 113
SimpleQA Verified (Epoch AI) · Correct answers% of questions, higher is better	60.3%Muse Spark 1.2 · 15 of 73	75.6%GPT-6 Astra · 1 of 73
Writing
Arena (formerly LMArena) · Overall · TextArena rating, higher is better	1,494Muse Spark 1.3 · 7 of 166	1,484GPT-5.6 Sol · 14 of 166
UGI Leaderboard · Writing score · UGIscore out of 100, higher is better	26.7Llama 4 Scout · 120 of 138	69.7GPT-5.5 · 11 of 138

Their models, one against one

Quick answers

Is Meta or OpenAI better?

OpenAI is ahead: its best models beat Meta's in 7 of the 9 kinds of work both are measured on; Meta leads in 2.

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.

What is OpenAI's best model?

GPT-6.1 Sol: #2 on the Spring Prompt overall leaderboard and 51.8 on the Artificial Analysis Intelligence Index.

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

OpenAI: its best model there, GPT-6.1 Sol, ranks 3 of 164 models on sale, against 9 for Meta's Muse Spark 1.3.

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

OpenAI: its best model there, GPT-6 Astra, ranks 3 of 198 models on sale, against 8 for Meta's Muse Spark 1.3.

Which is better for writing, Meta or OpenAI?

Meta: its best model there, Muse Spark 1.3, ranks 5 of 188 models on sale, against 14 for OpenAI's GPT-5.5.

Which is cheaper, Meta or OpenAI?

Meta's cheapest model with results, Llama 3.1 8B Instruct, costs $0.058 per million tokens (three input to one output), against $0.060 for gpt-oss-20b from OpenAI.

Other labs compared

Which model is best for your product?

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

Talk to us See the leaderboard