Compare AI models
| 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. | $0.40 | $1.25 |
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. | $1.60 | $2.50 |
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 third-party providers, excluding the lab itself. The cheapest endpoint may run a quantised build or a shorter context — see "Available from" on the model page. | $0.32Alibaba | — |
Cheapest outputLowest output rate across third-party providers, excluding the lab itself. May come from a different provider than the cheapest input. | $1.28Alibaba | — |
| 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. | 77.7% | 76.7% |
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. | — | 56% |
LiveCodeBenchCompetitive coding — Coding problems published so recently the AI can't have seen them in training — a contamination-free test of raw programming skill. Higher is better. | 89.6% | — |
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. | 34.7% | — |
ARC-AGI-2Abstract reasoning — Puzzle-style tests of abstract reasoning and pattern-finding — the kind of thing people find easy but AIs often struggle with. Higher is better. | — | 53.3% |
OSWorld-VerifiedAgentic computer use — Can the AI actually operate a computer — clicking, typing, and using real apps — to finish tasks on its own? Higher is better. | 73.3% | — |
| Overview | ||
| Company | Qwen | SpaceXAI |
| Release date | Jun 1 2026 | Feb 17 2026 |
| Access | Closed | Closed |
| Model details | View model | View model |
Other comparisons
Qwen3.7-PlusvsClaude Opus 5.5Grok 4.20 BetavsClaude Opus 5.5Qwen3.7-PlusvsGPT-6 SolGrok 4.20 BetavsGPT-6 SolQwen3.7-PlusvsGemini 3.8 FlashGrok 4.20 BetavsGemini 3.8 FlashQwen3.7-PlusvsMuse Spark 1.3Grok 4.20 BetavsMuse Spark 1.3Qwen3.7-PlusvsDeepSeek-V4.1-FlashGrok 4.20 BetavsDeepSeek-V4.1-FlashQwen3.7-PlusvsMistral Medium 3.5Grok 4.20 BetavsMistral Medium 3.5Frequently asked questions
Qwen3.7-Plus leads Grok 4.20 Beta on 1 of the 1 benchmark they both report (SWE-Bench Verified). Qwen3.7-Plus is cheaper on both input and output: $0.40 vs $1.25 per million input tokens, and $1.60 vs $2.50 per million output tokens. Figures are base-tier rates. Grok 4.20 Beta shipped 104 days before Qwen3.7-Plus, so benchmark comparisons should account for the intervening progress.
Published specifications for these two models are limited — see each model page for the latest details.
On SWE-Bench Verified, Qwen3.7-Plus leads at 77.7% vs Grok 4.20 Beta at 76.7%.