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. | >1T | — |
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. | 256k | 128k |
| 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. | $1.20 | — |
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. | $6.00 | — |
| $540Qwen list price | — | |
| Overview | ||
| Company | Qwen | SpaceXSI |
| Release date | Sep 24 2025 | Mar 29 2024 |
| Access | Closed | Closed |
| Model details | View model | View model |
Other comparisons
Qwen3-MaxvsClaude Haiku 5.5Grok‑1.5vsClaude Haiku 5.5Qwen3-MaxvsGPT-6.1 SolGrok‑1.5vsGPT-6.1 SolQwen3-MaxvsGemini 4 ArgonGrok‑1.5vsGemini 4 ArgonQwen3-MaxvsMuse Spark OpenGrok‑1.5vsMuse Spark OpenQwen3-MaxvsDeepSeek-V4.1-Flash-1017Grok‑1.5vsDeepSeek-V4.1-Flash-1017Qwen3-MaxvsMistral Large 4Grok‑1.5vsMistral Large 4Frequently asked questions
Qwen3-Max and Grok‑1.5 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Only Qwen3-Max has a verified first-party API price: $1.20 per million input tokens and $6.00 per million output tokens. No pay-as-you-go API rate is tracked for Grok‑1.5. Grok‑1.5 shipped 544 days before Qwen3-Max, so benchmark comparisons should account for the intervening progress.
Context windows are 256k (Qwen3-Max) vs 128k (Grok‑1.5).
Direct benchmark comparisons are unavailable — Qwen3-Max and Grok‑1.5 don't publish scores on any of the same benchmarks.