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. | — | 48B |
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. | 200k | 1M |
| 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. | $15.00Amazon Bedrock | — |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | $75.00Amazon Bedrock | — |
| $6,750Amazon Bedrock | — | |
| These models have no shared benchmark scores. | ||
BullshitBench v2Nonsense detection — Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better. | 43% | — |
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. | 74.5% | — |
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | 80.9% | — |
| Overview | ||
| Company | Anthropic | Moonshot AI |
| Release date | Aug 5 2025 | Oct 30 2025 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Claude Opus 4.1vsGPT-6.1 SolKimi LinearvsGPT-6.1 SolClaude Opus 4.1vsGemini 4 ArgonKimi LinearvsGemini 4 ArgonClaude Opus 4.1vsMuse Spark OpenKimi LinearvsMuse Spark OpenClaude Opus 4.1vsGrok 4.7Kimi LinearvsGrok 4.7Claude Opus 4.1vsDeepSeek-V4.1-Flash-1017Kimi LinearvsDeepSeek-V4.1-Flash-1017Claude Opus 4.1vsMistral Large 4Kimi LinearvsMistral Large 4Frequently asked questions
Claude Opus 4.1 and Kimi Linear don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Claude Opus 4.1 shipped 86 days before Kimi Linear, so benchmark comparisons should account for the intervening progress.
Context windows are 200k (Claude Opus 4.1) vs 1M (Kimi Linear). Claude Opus 4.1 is closed, while Kimi Linear is open weight.
Direct benchmark comparisons are unavailable — Claude Opus 4.1 and Kimi Linear don't publish scores on any of the same benchmarks.