Kimi K2 Instruct 0905 kimi-k2-0905
moonshotai · kimi agentic
unranked — no quality signals yet
- params
- 1000B (A32B)
- arch
- moe
- context
- 256k
- license
- modified-mit open weights
- released
- Sep 2025
- downloads/30d
- 1.1M
# why ranked
Overall: provisional — score 23.5 ● 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_intelligence | 0.50 | 23.5 |
| arena_elo | 0.30 | — |
| bench_composite | 0.20 | — |
missing signals are dropped and the remaining weights renormalized — never imputed.
Coding: provisional — score 100.0 ● 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 | 0.25 | — |
| aider_polyglot | 0.25 | — |
| arena_elo_code | 0.15 | — |
| swe_bench_verified | 0.35 | 100.0 |
missing signals are dropped and the remaining weights renormalized — never imputed.
Agentic: #1 — score 100.0 ● low — a single signal; treat with caution
| signal | weight | input (0–100) |
|---|---|---|
| swe_bench_verified | 1.00 | 100.0 |
# trend
# benchmarks
| benchmark | score | source | date |
|---|---|---|---|
| AA Intelligence Index | 23.5 | Artificial Analysis | — |
| AA Math Index | 57.3 | Artificial Analysis | — |
| AIME 2024 | 0.7 / 1 | LLM Stats | — |
| SWE-bench Verified | 71.2 | SWE-bench | Oct 2025 |
# where to run
| provider | quant | ctx | $/M in | $/M out | $/M blend | tps | uptime |
|---|---|---|---|---|---|---|---|
| Novita | fp8 | 256k | $0.60 | $2.50 | $1.07 | — | 99.7% |
| Groq | unknown | 256k | $1.00 | $3.00 | $1.50 | — | 99.9% |
blended = (3·input + output) / 4 per 1M tokens · cheapest first
source aliases
- aa
kimi-k2-0905- openrouter
moonshotai/kimi-k2-0905- swebench
kimi-k2-0905-preview