Models / Qwen3.8-Max
Qwen3.8-Max
Early evidence, 10 results from 2 sources, on 3 use cases. Qwen3.8-Max is best for reasoning and knowledge, and agents and tool use; it is not on sale through OpenRouter, so it is here for reference.
Superseded. Qwen3.8-Max (0902) is Alibaba's newer model in this line, at $3.00 blended: see Qwen3.8-Max (0902) or compare the two.
Compared with the models available today (it is not on sale itself), in the top quarter (by percentile) for reasoning and knowledge, and agents and tool use.
Results as of 8 October 2026, from 10 results on 2 sources; prices checked 8 Oct 2026.
- Price per million tokens
- Not available through OpenRouter
- Speed
- No speed yet
Artificial Analysis lists it but has not published a speed for it yet - Intelligence Index
- 40.2
Artificial Analysis, at 0803 - Spring Prompt overall
- Not ranked yet
needs our benchmarks and two groups of results - Developer
- Alibaba, based in China
Weights not published - Released
- 3 Aug 2026 (Artificial Analysis)
Where it stands among the models you could choose
Ranked only among models available today (those you can call through OpenRouter), in the groups people choose between: the same price band, similar intelligence, the same speed, developers based in the same place. Retired models are left out.
| Among | Intelligence Index | Spring Prompt overall | Price, blended | Speed |
|---|---|---|---|---|
| Models available today | 23rd of 199Claude Opus 5.5 | – | – | – |
| Models from developers based in China | 6th of 87MiMo-V2.6-Pro | – | – | – |
The name under each rank is the leader of that group; green is the top quarter of the group and red the bottom quarter, by rank. Price is shown as a percentile: the share of the group that costs less, so lower is cheaper. "Sets this group" marks the measure the group is defined by. Spring Prompt overall is our score out of 100 across every source (how it works). Price is the developer's list price (or the typical OpenRouter host where we haven't read one) for three input tokens to one output; intelligence and speed are from Artificial Analysis (data sourced from Artificial Analysis); "similar intelligence" means within 4 points on its Intelligence Index. Developer locations are where each company is based, not where a model is served. Groups under 3 models are not ranked.
How good is it, and for what?
Each use case ranks the available models its benchmarks measured. The bar shows its percentile in that field, best to the right. Open a row for the results behind it.
Product listingsTurning a sparse product feed and photos into listings that can go live
- CatalogBench: has not measured this model.
Decks from an analysisTurning a finished analysis into a deck you could present as it is
- DeckBench: has not measured this model.
User surveysPlanning a user survey and reading its results without being misled
- SurveyBench: has not measured this model.
Marketing planningPlanning a year of ad spend without overspending
- ROASBench: has not measured this model.
Agents and tool useMulti-step tasks with tools: support desks, coding agents, function calls
| Benchmark | Qwen3.8-Max | Rank among available | Best available |
|---|---|---|---|
| Artificial AnalysisArtificial Analysis: Terminal-Bench 4.0 · reported | 18.7% | 24th of 106 | Claude Sonnet 5.5 63.6% |
| Artificial AnalysisArtificial Analysis: Terminal-Bench 2.1 · reported | 81.3% | 20th of 116 | Claude Fable 5.1 91.4% |
| Artificial AnalysisArtificial Analysis: τ-bench banking · reported | 51.3% | 1st of 114 | This model |
- tau2-bench: pending. Its latest results are dated 26 May 2026, before this model was released.
- Berkeley Function Calling Leaderboard (BFCL) V4: pending. Its latest results are dated 16 Dec 2025, before this model was released.
- OpenHands Index: pending. Its latest results are dated 30 Jun 2026, before this model was released.
- Microsoft STATE-Bench: pending. Its latest results are dated 29 May 2026, before this model was released.
- Vending-Bench 2: has not measured this model.
Professional workReal tasks from banking, consulting and law, business documents and freelance projects
- APEX-Agents: has not measured this model.
- GDP.pdf: has not measured this model.
- Remote Labor Index: has not measured this model.
Reasoning and knowledgeHard questions across science, maths and general knowledge
| Benchmark | Qwen3.8-Max | Rank among available | Best available |
|---|---|---|---|
| Artificial AnalysisArtificial Analysis: Artificial Analysis Intelligence Index · reported | 40.2 | 23rd of 199 | Claude Opus 5.5 57.6 |
| Artificial AnalysisArtificial Analysis: Humanity's Last Exam · reported | 43.0% | 25th of 198 | Claude Opus 5.5 61.4% |
| Artificial AnalysisArtificial Analysis: GPQA Diamond · reported | 92.7% | 18th of 188 | GPT-6 Astra 96.3% |
WritingWhat people prefer in blind comparisons, and judged writing quality
- Arena (formerly LMArena): has not measured this model.
- UGI Leaderboard: has not measured this model.
Sticking to the factsSummarising without inventing things, and factual answers
| Benchmark | Qwen3.8-Max | Rank among available | Best available |
|---|---|---|---|
| SimpleQA Verified (Epoch AI)SimpleQA Verified: correct answers · reported | 45.8% | 35th of 74 | GPT-6 Astra 75.6% |
- Vectara Hallucination Leaderboard: has not measured this model.
- Arena (formerly LMArena): has not measured this model.
Speed under pressureGood decisions against a real clock (fast chess)
- BulletBench: has not measured this model.
Nearest alternatives
- Alibaba's newer model in this lineQwen3.8-Max (0902)$3.00 blended · Intelligence Index 45.4Compare with Qwen3.8-Max →
- Open weights at similar intelligenceMiMo-V2.6-Flash$0.18 blended · Intelligence Index 37.9
Against Qwen3.8-Max, Intelligence Index 40.2. "Similar intelligence" means within 4 points or better.
Against the alternatives
The models you would most likely weigh it against: the leaders of the groups above.
Scroll sideways to see every alternative.
| Qwen3.8-Max | Claude Opus 5.5 most intelligent available today | MiMo-V2.6-Pro most intelligent from China | Qwen3.8-Max (0902) Alibaba's best other model | GPT-6.1 Sol near the top overall | |
|---|---|---|---|---|---|
| Price per million tokens | – | $8.00 | $0.54 | $3.00 | $4.00 |
| Tokens a second | – | 97 | 39 | 37 | 55 |
| Intelligence Index | 40.2 | 57.6 | 46.3 | 45.4 | 51.8 |
| Spring Prompt overall | – | 85 | – | 48 | 81 |
| Rank among available models, by use case | |||||
| Product listings | – | 6th | – | 17th | 2nd |
| Decks from an analysis | – | 5th | – | 11th | 3rd |
| User surveys | – | 2nd | – | – | 1st |
| Marketing planning | – | 5th | – | 14th | – |
| Agents and tool use | 18th of 165 | 2nd | 14th | 7th | 3rd |
| Professional work | – | 3rd | – | 18th | 9th |
| Reasoning and knowledge | 23rd of 199 | 1st | 10th | 17th | 5th |
| Writing | – | 4th | 20th | 16th | 15th |
| Sticking to the facts | 66th of 153 | 2nd | 8th | 37th | 18th |
| Speed under pressure | – | – | – | – | – |
| Side by side → | Side by side → | Side by side → | |||
Shaded figures are better than Qwen3.8-Max's. A dash means no result.
Where it has been measured
- Artificial Analysis9 results
- SimpleQA Verified (Epoch AI)1 result
- Berkeley Function Calling Leaderboard (BFCL) V4Pending: latest results 16 Dec 2025
- Microsoft STATE-BenchPending: latest results 1 Jul 2026
- OpenHands IndexPending: latest results 30 Jun 2026
- BulletBenchNot measured
- CatalogBenchNot measured
- DeckBenchNot measured
- ROASBenchNot measured
- SurveyBenchNot measured
- APEX-AgentsNot measured
- Arena (formerly LMArena)Not measured
- GDP.pdfNot measured
- Remote Labor IndexNot measured
- tau2-benchNot measured
- UGI LeaderboardNot measured
- Vectara Hallucination LeaderboardNot measured
- Vending-Bench 2Not measured
Every result
10 published results from 2 sources, each in the source's own units, with the configuration that produced it.
Artificial Analysis · reported by Artificial Analysis · 9 results
| Measure | Value | Rank | Configuration | Dated |
|---|---|---|---|---|
| Artificial Analysis: Artificial Analysis Coding Indexindex score, higher is better | 71.8 | 41 of 188 | Qwen3.8-Max (0803) | 8 Oct 2026 |
| Artificial Analysis: Artificial Analysis Intelligence Indexindex score, higher is better | 40.2 | 56 of 407 | Qwen3.8-Max (0803) | 8 Oct 2026 |
| Artificial Analysis: GPQA Diamond% of questions, higher is better | 92.7% | 32 of 359 | Qwen3.8-Max (0803) | 8 Oct 2026 |
| Artificial Analysis: Humanity's Last Exam% of questions, higher is better | 43.0% | 54 of 405 | Qwen3.8-Max (0803) | 8 Oct 2026 |
| Artificial Analysis: Long-context reasoning (AA-LCR)% of questions, higher is better | 78.3% | 100 of 393 | Qwen3.8-Max (0803) | 8 Oct 2026 |
| Artificial Analysis: SciCode% of problems, higher is better | 53.2% | 71 of 191 | Qwen3.8-Max (0803) | 8 Oct 2026 |
| Artificial Analysis: Terminal-Bench 2.1% of tasks, higher is better | 81.3% | 41 of 187 | Qwen3.8-Max (0803) | 8 Oct 2026 |
| Artificial Analysis: Terminal-Bench 4.0% of tasks, higher is better | 18.7% | 59 of 187 | Qwen3.8-Max (0803) | 8 Oct 2026 |
| Artificial Analysis: τ-bench banking% of tasks, higher is better | 51.3% | 1 of 175 | Qwen3.8-Max (0803) | 8 Oct 2026 |
Not shown: Not your codebase or tools.
SimpleQA Verified (Epoch AI) · reported by SimpleQA Verified (Epoch AI) · 1 result
| Measure | Value | Rank | Configuration | Dated |
|---|---|---|---|---|
| SimpleQA Verified: correct answers% of questions, higher is better | 45.8% | 36 of 85 | Qwen3.8-Max (0803, xhigh reasoning) | 27 Aug 2026 |
Not shown: Not answers grounded in your documents; tests what the model remembers.