Compare AI models
| Specifications | ||
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. | 1M | 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. | $0.50 | $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. | $3.00 | $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. | $0.325Alibaba | — |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | $1.95Alibaba | — |
| $163Alibaba | $300SpaceXSI list price | |
| Benchmarks | ||
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. | 78.8% | 70.8% |
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. | 72% | — |
Humanity's Last Exam · with toolsMultidisciplinary reasoning — Humanity's Last Exam — extremely hard expert questions across many subjects. “With tools” means the AI is allowed to search the web or run code while answering. Higher is better. | 28.8% | — |
| Overview | ||
| Company | Qwen | SpaceXSI |
| Release date | Apr 2 2026 | Aug 28 2025 |
| Access | Closed | Closed |
| Model details | View model | View model |
Other comparisons
Qwen3.6-PlusvsClaude Fable 5.2Grok Code Fast 1vsClaude Fable 5.2Qwen3.6-PlusvsGPT-6.1 TerraGrok Code Fast 1vsGPT-6.1 TerraQwen3.6-PlusvsGemini 4 CarbonGrok Code Fast 1vsGemini 4 CarbonQwen3.6-PlusvsMuse EmberGrok Code Fast 1vsMuse EmberQwen3.6-PlusvsDeepSeek-V4.1-Flash-1017Grok Code Fast 1vsDeepSeek-V4.1-Flash-1017Qwen3.6-PlusvsMistral Large 4Grok Code Fast 1vsMistral Large 4Frequently asked questions
Qwen3.6-Plus leads Grok Code Fast 1 on 1 of the 1 benchmark they both report (SWE-Bench Verified). Qwen3.6-Plus is cheaper on input: $0.50 vs $1.00 per million tokens. Grok Code Fast 1 is cheaper on output: $2.00 vs $3.00 per million tokens. Figures are base-tier rates. Grok Code Fast 1 shipped 217 days before Qwen3.6-Plus, so benchmark comparisons should account for the intervening progress.
Context windows are 1M (Qwen3.6-Plus) vs 256k (Grok Code Fast 1).
On SWE-Bench Verified, Qwen3.6-Plus leads at 78.8% vs Grok Code Fast 1 at 70.8%.