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. | — | 0.5B/1.5B/3B/7B/14B/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. | 200k | 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. | — | $0.66Cloudflare |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | — | $1.00Cloudflare |
| — | $182Cloudflare | |
| These models have no shared benchmark scores. | ||
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | 40.4% | — |
| Overview | ||
| Company | Anthropic | Qwen |
| Release date | Mar 4 2024 | Nov 12 2024 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Claude 3 SonnetvsGPT-6.1 SolQwen2.5-CodervsGPT-6.1 SolClaude 3 SonnetvsGemini 4 ArgonQwen2.5-CodervsGemini 4 ArgonClaude 3 SonnetvsMuse Spark OpenQwen2.5-CodervsMuse Spark OpenClaude 3 SonnetvsGrok 4.7Qwen2.5-CodervsGrok 4.7Claude 3 SonnetvsDeepSeek-V4.1-Flash-1017Qwen2.5-CodervsDeepSeek-V4.1-Flash-1017Claude 3 SonnetvsMistral Large 4Qwen2.5-CodervsMistral Large 4Frequently asked questions
Claude 3 Sonnet and Qwen2.5-Coder don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Claude 3 Sonnet shipped 253 days before Qwen2.5-Coder, so benchmark comparisons should account for the intervening progress.
Context windows are 200k (Claude 3 Sonnet) vs 128k (Qwen2.5-Coder). Claude 3 Sonnet is closed, while Qwen2.5-Coder is open weight.
Direct benchmark comparisons are unavailable — Claude 3 Sonnet and Qwen2.5-Coder don't publish scores on any of the same benchmarks.