Compare AI models
| Specifications | ||
ParametersThe learned values that shape how a model responds. B means billion and T means trillion. For mixture-of-experts models, the total count is larger than the number active for each token. Parameter count alone does not measure quality. | 1T | 32B |
Context windowHow much information the model can work with in one request, measured in tokens — pieces of words or other data. This includes your question, attachments, conversation and reply. Limits can vary by model variant and provider. | 256k | 128k |
| API pricingUSD per 1M tokens · lower wins | ||
Cheapest inputLowest input rate across every provider on OpenRouter, the lab included. The cheapest endpoint may run a quantised build or a shorter context — see "Available from" on the model page. | $0.60Novita | — |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | $2.50Novita | — |
| $245Novita · bf16 | — | |
| These models have no shared benchmark scores. | ||
SWE-Bench VerifiedCoding — Real coding tasks pulled from open-source projects — the AI has to find and fix actual bugs. A human-checked version of the original SWE-Bench. Higher is better. | 71.3% | — |
LiveCodeBenchCompetitive coding — Coding problems published so recently the AI can't have seen them in training — a contamination-free test of raw programming skill. Higher is better. | — | 63.4% |
| Overview | ||
| Company | Moonshot AI | Qwen |
| Release date | Nov 6 2025 | Mar 6 2025 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
Kimi K2 ThinkingvsClaude Haiku 5.5QwQ-32BvsClaude Haiku 5.5Kimi K2 ThinkingvsGPT-6.1 TerraQwQ-32BvsGPT-6.1 TerraKimi K2 ThinkingvsGemini 4 CarbonQwQ-32BvsGemini 4 CarbonKimi K2 ThinkingvsMuse Spark OpenQwQ-32BvsMuse Spark OpenKimi K2 ThinkingvsGrok 4.7QwQ-32BvsGrok 4.7Kimi K2 ThinkingvsDeepSeek-V4.1-Flash-1017QwQ-32BvsDeepSeek-V4.1-Flash-1017Frequently asked questions
Kimi K2 Thinking and QwQ-32B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. QwQ-32B shipped 245 days before Kimi K2 Thinking, so benchmark comparisons should account for the intervening progress.
Kimi K2 Thinking has 1T parameters, while QwQ-32B has 32B. Context windows are 256k (Kimi K2 Thinking) vs 128k (QwQ-32B).
Direct benchmark comparisons are unavailable — Kimi K2 Thinking and QwQ-32B don't publish scores on any of the same benchmarks.