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. | 128k | 256k |
| API pricingUSD per 1M tokens · lower wins · base tier | ||
Input priceWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it. | — | $1.00 |
Output priceWhat you pay for the text the model writes back. It is normally the dearer half: producing an answer costs more than reading one. | — | $2.00 |
Cached input priceA reduced rate for text you send over and over. If every request starts with the same instructions or the same document, the provider keeps a copy ready and charges less to read it again. | — | $0.20 |
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 | $300SpaceXSI list price | |
| 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. | — | 70.8% |
| Overview | ||
| Company | Qwen | SpaceXSI |
| Release date | Nov 12 2024 | Aug 28 2025 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
Qwen2.5-CodervsClaude Haiku 5.5Grok Code Fast 1vsClaude Haiku 5.5Qwen2.5-CodervsGPT-6.1 SolGrok Code Fast 1vsGPT-6.1 SolQwen2.5-CodervsGemini 4 ArgonGrok Code Fast 1vsGemini 4 ArgonQwen2.5-CodervsMuse Spark OpenGrok Code Fast 1vsMuse Spark OpenQwen2.5-CodervsDeepSeek-V4.1-Flash-1017Grok Code Fast 1vsDeepSeek-V4.1-Flash-1017Qwen2.5-CodervsMistral Large 4Grok Code Fast 1vsMistral Large 4Frequently asked questions
Qwen2.5-Coder and Grok Code Fast 1 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Only Grok Code Fast 1 has a verified first-party API price: $1.00 per million input tokens and $2.00 per million output tokens. No pay-as-you-go API rate is tracked for Qwen2.5-Coder. Qwen2.5-Coder shipped 289 days before Grok Code Fast 1, so benchmark comparisons should account for the intervening progress.
Context windows are 128k (Qwen2.5-Coder) vs 256k (Grok Code Fast 1). Qwen2.5-Coder is open weight, while Grok Code Fast 1 is closed.
Direct benchmark comparisons are unavailable — Qwen2.5-Coder and Grok Code Fast 1 don't publish scores on any of the same benchmarks.