Kimi K2 Instruct
by Moonshot AI · ChinaThe first open-weight trillion-parameter model, trained with the Muon optimiser.
Specification
The numbers
- Maker
- Moonshot AI
- Released
- 2025-07
- Parameters
- 1T total / 32B active
- Architecture
- MoE
- Context window
- 131,072 tokens
- Max output
- 16,384 tokens
- Input
- Text
- Output
- Text
- Reasoning
- No
- Tool calling
- Yes
- Knowledge cutoff
- Not reported
- Licence
- Modified MIT
- Availability
- Not reported
- Weights
- Downloadable
Cost
Price per million tokens
- Input
- $0.60 / M tokens
- Output
- $2.50 / M tokens
- Blended 3:1
- $1.07
This model has open weights, so there is no first-party price. The figures above are a representative third-party hosting rate — you can also run it yourself for the cost of the hardware.
Published scores
Benchmarks
Figures published by Moonshot AI or taken from a public leaderboard. Row last checked 2026-08.
| Category | Score | Rank |
|---|---|---|
| ReasoningMulti-step logic on problems that cannot be looked up | Not reported | — |
| MathsCompetition mathematics, graded on the final answer | Not reported | — |
| CodingSWE-bench Verified, LiveCodeBench | 59.8% | 4 of 4 reporting the same tests |
| KnowledgeMMLU-Pro | 81.1% | 4 of 77 reporting the same tests |
| MultimodalReading charts, diagrams and photographs | Not reported | — |
| Instruction followingObeying an exact, checkable format | Not reported | — |
| Human preferenceLMArena Elo | 1420 | 2 of 24 reporting the same tests |
A category averages every benchmark in it that Kimi K2 Instruct reports. The rank counts only models that report the same tests, so it never compares an average over three benchmarks against an average over one.
Every reported test
| MMLU-ProKnowledge | Rank 4 of 77 models reporting | |
|---|---|---|
| GPQA DiamondReasoning | Not reported | No figure published |
| AIME 2025Maths | Not reported | No figure published |
| MATH-500Maths | Not reported | No figure published |
| SWE-bench VerifiedCoding | Rank 19 of 33 models reporting | |
| SWE-bench ProCoding | Not reported | No figure published |
| Terminal-Bench 2.1Coding | Not reported | No figure published |
| Frontier-Bench v0.1Reasoning | Not reported | No figure published |
| Terminal-Bench 4.0Coding | Not reported | No figure published |
| LiveCodeBenchCoding | Rank 10 of 11 models reporting | |
| HumanEvalCoding | Not reported | No figure published |
| MMMUMultimodal | Not reported | No figure published |
| IFEvalInstruction following | Not reported | No figure published |
| LMArena EloHuman preference | Rank 2 of 24 models reporting |
Where these numbers come from
Every score on this page is a published figure, taken from the model's own card, system card, technical report or release post, or from a public leaderboard. CorX Labs did not run these evaluations. Most are self-reported by the lab that built the model, which means they were produced under that lab's own choice of prompt, scaffold and number of attempts — so treat them as a starting point for a shortlist, not as a settled ranking.
A score someone other than the model's maker measured is marked Independent and names its measurer. Those are the stronger numbers on this page — an outside harness has no reason to flatter anyone — and there are not many of them.
Where a figure has not been published, the cell reads Not reported rather than an estimate. Nothing here is inferred, interpolated or guessed. Each model records the month its row was last checked. Full method and caveats.
Same maker
Other models from Moonshot AI
| Kimi K3Moonshot AI | Moonshot AI | 1M | $3.00 | $15.00 | — | — | — | — | Kimi K3 License |
| Kimi K2 ThinkingMoonshot AI | Moonshot AI | 262K | $0.60 | $2.50 | — | 84.5% | 94.5% | 71.3% | Modified MIT |
| Kimi-Dev-72BMoonshot AI | Moonshot AI | 131K | $0.290 | $1.15 | — | — | — | 60.4% | Modified MIT |