GPT-5 nanovsQwen3.8-Max
GPT-5 nano | Qwen3.8-Max | |
|---|---|---|
| Specifications | ||
ParametersA rough measure of how big the model is. More parameters usually means more capable and more expensive to run, though it is a poor guide on its own — a smaller, newer model often beats a larger, older one. | — | 2.4T |
Context windowHow much text the model can hold in mind at once — your question, any documents you attach, the conversation so far, and its own reply. Go past it and the earliest part falls out of view. | — | 1M |
| API pricingUSD per 1M tokens · lower wins | ||
Input priceWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it. | $0.05 | — |
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. | $0.40 | — |
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. | $0.005 | — |
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. | $0.05Azure | $2.00Alibaba |
Cheapest outputLowest output rate across third-party providers, excluding the lab itself. May come from a different provider than the cheapest input. | $0.40Azure | $6.00Alibaba |
| BenchmarksPublished by one model only | ||
SWE-Bench ProAgentic coding — Can the AI fix real bugs in real software? It's handed actual problems from open-source projects and has to write code that genuinely solves them. Higher is better. | — | 67.7% |
PaperBenchResearch reproduction — reproducing the results of an ML research paper end to end | — | 93% |
Terminal-Bench 2.1Agentic terminal coding — Can the AI work in a command-line terminal — running commands and finishing technical setup tasks the way a developer would? Higher is better. | — | 86.6% |
JobBenchProfessional tool use — Tests the AI on professional workplace tasks that require using real work tools — the kind of multi-step jobs an office worker handles. Higher is better. | — | 53.4% |
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. | — | 86.1% |
CharXiv ReasoningChart reasoning — Can the AI read and reason about complex charts and figures, not just text? Higher is better. | — | 88.4% |
BabyVisionVisual reasoning — Tests core visual reasoning — seeing and understanding images the way even young children can, which AIs often find surprisingly hard. Higher is better. | — | 82% |
Arena Elo (Text)Community preference — Real people chat with two anonymous AIs side by side and vote for the answer they prefer. Votes become a chess-style Elo rating on arena.ai — it measures which AI people actually like, not test scores. Higher is better. | — | 1481 |
Arena Elo (Code)Community preference (code) — Like the text arena, but people vote on which AI writes better code. The votes become a chess-style Elo rating on arena.ai. Higher is better. | — | 1667 |
| Overview | ||
| Company | OpenAI | Qwen |
| Release date | Aug 7 2025 | Aug 3 2026 |
| Access | Proprietary | Proprietary |
Other comparisons
Frequently asked questions
GPT-5 nano and Qwen3.8-Max don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Only GPT-5 nano has a verified first-party API price: $0.05 per million input tokens and $0.40 per million output tokens. No pay-as-you-go API rate is tracked for Qwen3.8-Max. GPT-5 nano shipped 361 days before Qwen3.8-Max, 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.
Direct benchmark comparisons are unavailable — GPT-5 nano and Qwen3.8-Max don't publish scores on any of the same benchmarks.
GPT-5 nano was released by OpenAI on Aug 7 2025.
Qwen3.8-Max was released by Qwen on Aug 3 2026.
Only GPT-5 nano has a verified first-party API price: $0.05 per million input tokens and $0.40 per million output tokens. No pay-as-you-go API rate is tracked for Qwen3.8-Max. Rates are pay-as-you-go API prices verified on August 18, 2026.