kimi-k2-0711-preview: benchmark scores, price and ranking
kimi-k2-0711-preview from Moonshot ranks #294 of 743 LLMs on the LLMs Tiger aggregate benchmark score (49.1), based on 1 benchmark results captured up to 2026-10-13.
- Organisation
- Moonshot
- Type
- Open-weight / local model
- Open weights
- Yes
- Cheapest API price
- $0.570 in / $2.30 out per million tokens (via openrouter, observed 2026-10-13T20:47Z)
- Aggregate rank
- #294 of 743 (score 49.1)
Across the 1 benchmark where at least ten models are scored, kimi-k2-0711-preview is in the top 10% on 0 and in the top half on 0.
Its cheapest listed input price, $0.570 per million tokens, is lower than that of 47% of the 427 models with a listed price.
kimi-k2-0711-preview benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| WeirdML | 39.4% | #65 of 109 | Epoch AI Benchmarking Hub | 2026-10-13 |
About kimi-k2-0711-preview
kimi-k2-0711-preview is an open-weight model that can run on your own hardware from Moonshot. The cheapest API listing we track charges $0.570 per million input tokens and $2.30 per million output tokens, through openrouter. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.
Where kimi-k2-0711-preview stands
On our aggregate score, kimi-k2-0711-preview is #294 of 743 ranked models, around the middle of the table. Its score is 49.1; the scale is centred on 50, so it sits 0.9 points below the typical model. That beats 60% of the ranked field. Among the 13 ranked Moonshot models it is #8. The next one up is Kimi K2.5 (instant) at 49.1. The next one down is Kimi K2.6 at 48.4.
kimi-k2-0711-preview, benchmark by benchmark
kimi-k2-0711-preview lands below the middle on WeirdML: 39.4%, #65 of 109, with 59% of the field scoring higher. GPT-6 Astra (max) leads at 93.3%; the closest result above is Kimi K2 Instruct at 39.4%. It covers unusual machine-learning tasks. The board median is 41.2%, so kimi-k2-0711-preview is 1.8 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
Price and value
The median input price across the 427 priced models is $0.500 per million tokens, so kimi-k2-0711-preview costs more than the typical listing. Models that score within 1.5 points or better and cost less: Qwen2.5-Coder-7B-Instruct ($0.010, 49.5), DeepSeek V4.1 Flash (high) ($0.010, 48.9), DeepSeek V4 Flash 0731 (max) ($0.016, 53.1). Similar scores cost more on DeepSeek-V3.2-Speciale ($0.580) and kimi-k2p5 ($0.600).
Reading these numbers
The 1 score on this page comes from 1 source: Epoch AI Benchmarking Hub (1). No official leaderboard supplied any of them, so treat them as third-party measurements. With 1 results the aggregate rank can move a lot when one new score arrives.
Models ranked nearby
- #291 Claude Code + Qwen3.8-Max-0902 (49.1)
- #292 Claude Opus 4.1 (unknown thinking) (49.1)
- #293 Kimi K2.5 (instant) (49.1)
- #295 TTS(Bo8) (49.1)
- #296 DevStral Small 2505 (49.1)
- #297 gpt-4-0125-preview (49.1)
More from Moonshot
- Kimi K3 (max) (#15, 55.7)
- Kimi K2.5 (Fireworks) (#50, 52.8)
- Kimi K2.5 (#173, 50.7)
- Kimi K2 Thinking Turbo (#187, 50.5)
- Kimi K2 Thinking (Together) (#240, 49.7)
- Kimi-K2-Instruct-0905 (#258, 49.5)
Compare it on the live leaderboard → · How the aggregate score works