Compare / Meta vs Moonshot AI

AI labs compared · October 2026

Meta vs Moonshot AI: 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. 16 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
7 models on sale with our resultsMoonshot AI Best: Kimi K3 · newest: Kimi K3
Meta wins 61 too close to callMoonshot AI wins 2

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 Moonshot AI? The short answer

Meta is ahead: its best models beat Moonshot AI's in 6 of the 9 kinds of work both are measured on; Moonshot AI leads in 2, and 1 is a tie.

  • Pick Meta for product listings, agents and tool use, professional work, reasoning and knowledge, writing and sticking to the facts.
  • Pick Moonshot AI for decks from an analysis and marketing planning.
  • On our overall leaderboard, Muse Spark 1.3 is #6 (65 of 100) and Kimi K3 is #10 (50).
  • Prices start at $0.058 per million tokens for Meta (Llama 3.1 8B Instruct) and $1.00 for Moonshot AI (Kimi K2 (0711)).

Head to head

65Muse Spark 1.3
Best Spring Prompt overall score
50Kimi K3
48.1Muse Spark 1.3
Best Intelligence Index
43.6Kimi K3
$2.00Muse Spark 1.3
Flagship price, per million tokens
$6.00Kimi K3
$0.058Llama 3.1 8B Instruct
Cheapest model, per million tokens
$1.00Kimi K2 (0711)
9
Models on sale with our results
7

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 13 of 20Kimi K3
Decks from an analysisTurning a finished analysis into a deck you could present as it is 14 of 19Muse Spark 1.3 8 of 19Kimi K3
Marketing planningPlanning a year of ad spend without overspending 12 of 19Muse Spark 1.3 8 of 19Kimi K3
Agents and tool useMulti-step tasks with tools: support desks, coding agents, function calls 9 of 164Muse Spark 1.3 19 of 164Kimi K2 (0711)
Professional workReal tasks from banking, consulting and law, business documents and freelance projects 8 of 51Muse Spark 1.3 24 of 51Kimi K3
Reasoning and knowledgeHard questions across science, maths and general knowledge 8 of 198Muse Spark 1.3 15 of 198Kimi K3
WritingWhat people prefer in blind comparisons, and judged writing quality 5 of 188Muse Spark 1.3 11 of 188Kimi K3
Sticking to the factsSummarising without inventing things, and factual answers 11 of 152Muse Spark 1.3 28 of 152Kimi K3
Speed under pressureGood decisions against a real clock (fast chess) 19 of 22Muse Spark 1.3 19 of 22Kimi K3

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.

MetaMoonshot AI

0204060 $0.01$0.1$1$10 Price per million tokens, blended (log scale) Intelligence Index Muse Spark 1.3Muse Spark 1.2Muse Spark 1.1Kimi K3Kimi K2.6Kimi K2.7 Code

On our overall leaderboard

The 2 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. #10Kimi K350

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.

MeasureMetaMoonshot AI
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 3859.1%Kimi K2 (0711) · 6 of 38
Artificial Analysis · Terminal-Bench 4.0% of tasks, higher is better 33.3%Muse Spark 1.3 · 14 of 10512.6%Kimi K3 · 29 of 105
Artificial Analysis · Terminal-Bench 2.1% of tasks, higher is better 85.4%Muse Spark 1.3 · 10 of 11585.0%Kimi K3 · 11 of 115
Artificial Analysis · τ-bench banking% of tasks, higher is better 50.5%Muse Spark 1.3 · 2 of 11346.0%Kimi K3 · 9 of 113
Vending-Bench 2 · Money after a yearUS dollars, higher is better $6,520Muse Spark 1.1 · 13 of 56$6,205Kimi K2.6 · 15 of 56
Decks from an analysis
DeckBench · Deck ratingrating, higher is better 821Muse Spark 1.3 · 14 of 191,229Kimi K3 · 8 of 19
Marketing planning
ROASBench · Overall scorescore out of 100, higher is better 34.1Muse Spark 1.3 · 12 of 1944.1Kimi K3 · 8 of 19
Product listings
CatalogBench · Reliably publish-ready% of products, higher is better 48.2%Muse Spark 1.3 · 7 of 2041.1%Kimi K3 · 9 of 20
CatalogBench · Reliably publish-ready · sales brief% of products, higher is better 10.7%Muse Spark 1.3 · 9 of 201.8%Kimi K3 · 16 of 20
Professional work
APEX-Agents · Tasks passed% of tasks, higher is better 57.8%Muse Spark 1.3 · 12 of 3750.6%Kimi K3 · 21 of 37
GDP.pdf · Professional document tasks% of rubric, higher is better 27.6%Muse Spark 1.3 · 5 of 3119.0%Kimi K3 · 17 of 31
Reasoning and knowledge
Artificial Analysis · Artificial Analysis Intelligence Indexindex score, higher is better 48.1Muse Spark 1.3 · 8 of 19843.6Kimi K3 · 16 of 198
Artificial Analysis · Humanity's Last Exam% of questions, higher is better 48.7%Muse Spark 1.3 · 10 of 19746.9%Kimi K3 · 16 of 197
Artificial Analysis · GPQA Diamond% of questions, higher is better 94.1%Muse Spark 1.3 · 5 of 18793.5%Kimi K3 · 10 of 187
Speed under pressure
BulletBench · Ladder Elo · Bullet 60sladder Elo, higher is better 33Muse Spark 1.3 · 17 of 2033Kimi K3 · 17 of 20
Sticking to the facts
Vectara Hallucination Leaderboard · Hallucination rate · Vectara% of summaries, lower is better 7.7%Llama 4 Scout · 27 of 7910.8%Kimi K2.6 · 52 of 79
Arena (formerly LMArena) · Overall · Text factualityArena rating, higher is better 1,483Muse Spark 1.2 · 9 of 1131,472Kimi K3 · 16 of 113
SimpleQA Verified (Epoch AI) · Correct answers% of questions, higher is better 60.3%Muse Spark 1.2 · 15 of 7350.6%Kimi K3 · 23 of 73
Writing
Arena (formerly LMArena) · Overall · TextArena rating, higher is better 1,494Muse Spark 1.3 · 7 of 1661,488Kimi K3 · 11 of 166
UGI Leaderboard · Writing score · UGIscore out of 100, higher is better 26.7Llama 4 Scout · 120 of 13864.4Kimi K2.6 · 25 of 138

Their models, one against one

Quick answers

Is Meta or Moonshot AI better?

Meta is ahead: its best models beat Moonshot AI's in 6 of the 9 kinds of work both are measured on; Moonshot AI leads in 2, and 1 is a tie.

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 Moonshot AI's best model?

Kimi K3: #10 on the Spring Prompt overall leaderboard and 43.6 on the Artificial Analysis Intelligence Index.

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

Meta: its best model there, Muse Spark 1.3, ranks 9 of 164 models on sale, against 19 for Moonshot AI's Kimi K2 (0711).

Which is better for reasoning and knowledge, Meta or Moonshot AI?

Meta: its best model there, Muse Spark 1.3, ranks 8 of 198 models on sale, against 15 for Moonshot AI's Kimi K3.

Which is better for writing, Meta or Moonshot AI?

Meta: its best model there, Muse Spark 1.3, ranks 5 of 188 models on sale, against 11 for Moonshot AI's Kimi K3.

Which is cheaper, Meta or Moonshot AI?

Meta's cheapest model with results, Llama 3.1 8B Instruct, costs $0.058 per million tokens (three input to one output), against $1.00 for Kimi K2 (0711) from Moonshot AI.

Other labs compared

Which model is best for your product?

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