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 |
| 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. | 49% | — |
| Overview | ||
| Company | Anthropic | Moonshot AI |
| Release date | Oct 22 2024 | Oct 30 2025 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Claude 3.5 Sonnet (upgraded)vsGPT-6.1 SolKimi LinearvsGPT-6.1 SolClaude 3.5 Sonnet (upgraded)vsGemini 4 ArgonKimi LinearvsGemini 4 ArgonClaude 3.5 Sonnet (upgraded)vsMuse Spark OpenKimi LinearvsMuse Spark OpenClaude 3.5 Sonnet (upgraded)vsGrok 4.7Kimi LinearvsGrok 4.7Claude 3.5 Sonnet (upgraded)vsDeepSeek-V4.1-Flash-1017Kimi LinearvsDeepSeek-V4.1-Flash-1017Claude 3.5 Sonnet (upgraded)vsMistral Large 4Kimi LinearvsMistral Large 4Frequently asked questions
Claude 3.5 Sonnet (upgraded) and Kimi Linear don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Claude 3.5 Sonnet (upgraded) shipped 373 days before Kimi Linear, so benchmark comparisons should account for the intervening progress.
Context windows are 200k (Claude 3.5 Sonnet (upgraded)) vs 1M (Kimi Linear). Claude 3.5 Sonnet (upgraded) is closed, while Kimi Linear is open weight.
Direct benchmark comparisons are unavailable — Claude 3.5 Sonnet (upgraded) and Kimi Linear don't publish scores on any of the same benchmarks.