Kimi K2 Thinking kimi-k2-thinking
moonshotai · kimi reasoning flagship agentic
#20 overall #11 agentic
- params
- 1000B (A32B)
- arch
- moe
- context
- 256k
- license
- modified-mit open weights
- released
- Nov 2025
- reasoning
- yes
- train compute
- 4.2e+24 FLOP
- downloads/30d
- 46.1k
# architecture
- layers
- 61
- d_model
- 7168
- heads
- 64q / 64kv
- head dim
- 112
- experts
- top-8 of 384 + 1 shared
- vocab
- 163840
- family
- kimi_k2
signal path of one layer, generated from the registry's structured fields — dimension lines quote the model's real numbers; an MoE trace forks at the router, a dense trace runs straight through. Geometry fields come from the repo's config.json.
# why ranked
Overall: #20 — score 66.8 ● high — all signals present
| signal | weight | input (0–100) |
|---|---|---|
| aa_intelligence | 0.70 | 71.1 |
| bench_composite | 0.30 | 56.7 |
benchmark panel evidence:
| complete panel | score (0–100) |
|---|---|
| swe-bench-verified-v1 | 56.7 |
Coding: provisional — score 50.0 ● low — a single signal; treat with caution
provisional: too few independent signals for a numbered position — the score is shown, but this model sorts after every ranked model.
| signal | weight | input (0–100) |
|---|---|---|
| aa_coding | 0.30 | — |
| aider_polyglot | 0.30 | — |
| swe_bench_verified | 0.40 | 50.0 |
missing signals are dropped and the remaining weights renormalized — never imputed.
Agentic: #11 — score 50.0 ● low — a single signal; treat with caution
| signal | weight | input (0–100) |
|---|---|---|
| swe_bench_verified | 0.60 | 50.0 |
| swe_rebench | 0.40 | — |
missing signals are dropped and the remaining weights renormalized — never imputed.
# trend
methodology changed during this history window; score movement across that boundary is not model movement. See methodology v5.
# benchmarks
| benchmark | score | source | date |
|---|---|---|---|
| AA Intelligence Index | 25.9 | Artificial Analysis | — |
| AA Math Index | 94.7 | Artificial Analysis | — |
| SWE-bench Verified | 63.4 | SWE-bench | Dec 2025 |
# where to run
| provider | quant | ctx | $/M in | $/M out | $/M cache | price src | tps | uptime | ✓ |
|---|---|---|---|---|---|---|---|---|---|
| Amazon Bedrock | — | $0.30 | $1.25 | — | bedrock | — | — | ✓ | |
| Gmi | 256k | $0.80 | $1.20 | — | via litellm | — | — | ||
| BaseTen | — | $0.60 | $2.50 | — | via litellm | — | — | ||
| unknown | 256k | $0.60 | $2.50 | — | via openrouter | — | 100.0% | ||
| Moonshot AI | 256k | $0.60 | $2.50 | $0.15 | via modelsdev | — | — | ||
| Novita | bf16 | 256k | $0.60 | $2.50 | — | novita | — | 99.8% | ✓ |
| Crusoe | 256k | $2.50 | $2.50 | — | via litellm | — | — |
sorted by blended price ((3·input + output) / 4 per 1M) · ✓ = the provider's own catalog confirms the offer · "via …" prices are what the aggregator routing the offer charges, not the provider's own list price
source aliases
- aa
kimi-k2-thinking- arena
Kimi-K2-Thinking- epoch
Kimi K2 Thinking- openrouter
moonshotai/kimi-k2-thinking