Compare / DeepSeek vs Meta

AI labs compared · October 2026

DeepSeek 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. 21 models in all; a lab is only as good as the model you would actually pick from it.

12 models on sale with our resultsDeepSeek Best: DeepSeek-V4.1-Flash · newest: DeepSeek-V4.1-Flash

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

DeepSeek wins 1Meta wins 7

Kinds of work led by each lab's best model there, of the 8 both are measured on.

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

DeepSeek or Meta? The short answer

Meta is ahead: its best models beat DeepSeek's in 7 of the 8 kinds of work both are measured on; DeepSeek leads in 1.

Pick DeepSeek for product listings.
Pick Meta for decks from an analysis, marketing planning, agents and tool use, professional work, reasoning and knowledge, writing and sticking to the facts.
On our overall leaderboard, Muse Spark 1.3 is #6 (65 of 100) and DeepSeek-V4.1-Flash is #9 (56).
Prices start at $0.18 per million tokens for DeepSeek (DeepSeek-V4-Flash (0731)) and $0.058 for Meta (Llama 3.1 8B Instruct).

Head to head

56DeepSeek-V4.1-Flash

Best Spring Prompt overall score

65Muse Spark 1.3

39.5DeepSeek-V4.1-Flash

Best Intelligence Index

48.1Muse Spark 1.3

$0.52DeepSeek-V4.1-Flash

Flagship price, per million tokens

$2.00Muse Spark 1.3

$0.18DeepSeek-V4-Flash (0731)

Cheapest model, per million tokens

$0.058Llama 3.1 8B Instruct

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

7 of 20DeepSeek-V4.1-Flash 9 of 20Muse Spark 1.3

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

18 of 19DeepSeek-V4-Pro (0423) 14 of 19Muse Spark 1.3

Marketing planningPlanning a year of ad spend without overspending

13 of 19DeepSeek-V4-Pro (0423) 12 of 19Muse Spark 1.3

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

21 of 164DeepSeek-V4.1-Flash 9 of 164Muse Spark 1.3

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

29 of 51DeepSeek-V4-Pro (0813) 8 of 51Muse Spark 1.3

Reasoning and knowledgeHard questions across science, maths and general knowledge

29 of 198DeepSeek-V4-Pro (0813) 8 of 198Muse Spark 1.3

WritingWhat people prefer in blind comparisons, and judged writing quality

28 of 188DeepSeek-V4.1-Flash 5 of 188Muse Spark 1.3

Sticking to the factsSummarising without inventing things, and factual answers

20 of 152DeepSeek-V3.1 11 of 152Muse Spark 1.3

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

not measured 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.

DeepSeekMeta

On our overall leaderboard

The 3 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	DeepSeek	Meta
Agents and tool use
Berkeley Function Calling Leaderboard (BFCL) V4 · Overall accuracy · BFCL% correct, higher is better	56.7%DeepSeek-V3.2-Exp · 7 of 38	31.9%Llama 3.3 70B Instruct · 26 of 38
Artificial Analysis · Terminal-Bench 4.0% of tasks, higher is better	26.8%DeepSeek-V4.1-Flash · 17 of 105	33.3%Muse Spark 1.3 · 14 of 105
Artificial Analysis · Terminal-Bench 2.1% of tasks, higher is better	78.7%DeepSeek-V4-Pro (0813) · 24 of 115	85.4%Muse Spark 1.3 · 10 of 115
Artificial Analysis · τ-bench banking% of tasks, higher is better	39.6%DeepSeek-V4-Pro (0813) · 17 of 113	50.5%Muse Spark 1.3 · 2 of 113
Vending-Bench 2 · Money after a yearUS dollars, higher is better	$3,285DeepSeek-V4-Pro (0423) · 37 of 56	$6,520Muse Spark 1.1 · 13 of 56
Decks from an analysis
DeckBench · Deck ratingrating, higher is better	613DeepSeek-V4-Pro (0423) · 18 of 19	821Muse Spark 1.3 · 14 of 19
Marketing planning
ROASBench · Overall scorescore out of 100, higher is better	28.3DeepSeek-V4-Pro (0423) · 13 of 19	34.1Muse Spark 1.3 · 12 of 19
Product listings
CatalogBench · Reliably publish-ready% of products, higher is better	41.1%DeepSeek-V4.1-Flash · 9 of 20	48.2%Muse Spark 1.3 · 7 of 20
CatalogBench · Reliably publish-ready · sales brief% of products, higher is better	23.2%DeepSeek-V4.1-Flash · 6 of 20	10.7%Muse Spark 1.3 · 9 of 20
Professional work
APEX-Agents · Tasks passed% of tasks, higher is better	47.3%DeepSeek-V4-Pro (0813) · 24 of 37	57.8%Muse Spark 1.3 · 12 of 37
Reasoning and knowledge
Artificial Analysis · Artificial Analysis Intelligence Indexindex score, higher is better	39.5DeepSeek-V4.1-Flash · 26 of 198	48.1Muse Spark 1.3 · 8 of 198
Artificial Analysis · Humanity's Last Exam% of questions, higher is better	41.0%DeepSeek-V4-Pro (0813) · 34 of 197	48.7%Muse Spark 1.3 · 10 of 197
Artificial Analysis · GPQA Diamond% of questions, higher is better	92.8%DeepSeek-V4-Pro (0813) · 15 of 187	94.1%Muse Spark 1.3 · 5 of 187
Sticking to the facts
Vectara Hallucination Leaderboard · Hallucination rate · Vectara% of summaries, lower is better	5.3%DeepSeek-V3.2-Exp · 10 of 79	7.7%Llama 4 Scout · 27 of 79
Arena (formerly LMArena) · Overall · Text factualityArena rating, higher is better	1,467DeepSeek-V4.1-Flash · 23 of 113	1,483Muse Spark 1.2 · 9 of 113
SimpleQA Verified (Epoch AI) · Correct answers% of questions, higher is better	52.9%DeepSeek-V4-Pro (0813) · 20 of 73	60.3%Muse Spark 1.2 · 15 of 73
Writing
Arena (formerly LMArena) · Overall · TextArena rating, higher is better	1,474DeepSeek-V4.1-Flash · 26 of 166	1,494Muse Spark 1.3 · 7 of 166
UGI Leaderboard · Writing score · UGIscore out of 100, higher is better	68.4DeepSeek-V4-Pro (0423) · 14 of 138	26.7Llama 4 Scout · 120 of 138

Their models, one against one

Quick answers

Is DeepSeek or Meta better?

Meta is ahead: its best models beat DeepSeek's in 7 of the 8 kinds of work both are measured on; DeepSeek leads in 1.

What is DeepSeek's best model?

DeepSeek-V4.1-Flash: #9 on the Spring Prompt overall leaderboard and 39.5 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, DeepSeek or Meta?

Meta: its best model there, Muse Spark 1.3, ranks 9 of 164 models on sale, against 21 for DeepSeek's DeepSeek-V4.1-Flash.

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

Meta: its best model there, Muse Spark 1.3, ranks 8 of 198 models on sale, against 29 for DeepSeek's DeepSeek-V4-Pro (0813).

Which is better for writing, DeepSeek or Meta?

Meta: its best model there, Muse Spark 1.3, ranks 5 of 188 models on sale, against 28 for DeepSeek's DeepSeek-V4.1-Flash.

Which is cheaper, DeepSeek 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 $0.18 for DeepSeek-V4-Flash (0731) from DeepSeek.

Other labs compared

Which model is best for your product?

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

Talk to us See the leaderboard