BlogLLM Benchmark Scores as Published, Side by Side
GPT-6 Astra vs Qwen3.8-Max: Benchmark Scores Side by Side
Every test both GPT-6 Astra by OpenAI and Qwen3.8-Max by Alibaba have a published number for: 17 tests in 7 areas. Each number is as printed, with the page it comes from and the setup it was run under; nothing is ranked or rescored, and two numbers under different setups are two results, not one comparison.
Models GPT-6 Astra, Qwen3.8-MaxData version 2026103001, as of 2026-10-30
Model
What each developer prints on its own model page; a dash means it prints none.
| Fact | GPT-6 Astra | Qwen3.8-Max |
|---|---|---|
| Released | 2026-09-03 | 2026-08-03 |
| Context window | 1.05M | 1M |
| Max output | 128K | 131K |
| Input | Text, image | Text, image, video |
| Output | Text | Text |
| Weights | Closed | Closed |
Knowledge Work
| Test | GPT-6 Astra | Qwen3.8-Max |
|---|---|---|
| AutomationBench | 41.4%OpenAI, GPT-6 Astra, checked 2026-10-14; printed on 7 more pages | 27.3%Alibaba, Qwen3.8-Max comparison, checked 2026-10-14; printed on 1 more page |
| JobBench | 53.4Alibaba, Qwen3.8-Max comparison, checked 2026-10-14 | |
| Vals Finance Agent v2 | 53.5%Google, Gemini 4 Argon, checked 2026-10-29; printed on 2 more pages | 50.6%Mistral AI, Mistral Large 4 (preview), checked 2026-10-15 |
| Harvey's Legal Agent Benchmark | 5.4%Google, Gemini 4 Argon, checked 2026-10-29; printed on 1 more page | 10.4%Mistral AI, Mistral Large 4 (preview), checked 2026-10-15 |
Agentic Coding
| Test | GPT-6 Astra | Qwen3.8-Max |
|---|---|---|
| DeepSWE v1.1 | 74.1%OpenAI, GPT-6 Astra, checked 2026-10-14; printed on 3 more pages | 56.6%Alibaba, Qwen3.8-Max comparison, checked 2026-10-14; printed on 2 more pages |
| Terminal-Bench 4.0 | 57.9%OpenAI, GPT-6 Astra, checked 2026-10-14; printed on 7 more pages | 17%Mistral AI, Mistral Large 4 (preview), checked 2026-10-15 |
| ProgramBench Almost@1 | 52.5%Meta, Meta Muse Wonder model card, checked 2026-10-19; printed on 1 more pageEffort: max; Harness: mini-swe-agent | 10.5%Z.ai, GLM-5.3 model card, checked 2026-10-15 |
Science and Math
| Test | GPT-6 Astra | Qwen3.8-Max |
|---|---|---|
| GPQA Diamond | 96%OpenAI, GPT-6 Astra, checked 2026-10-14; printed on 1 more page | 92.6%Alibaba, Qwen3.8-Max comparison, checked 2026-10-14 |
| FrontierMath Tier 4 (v2) | 97.6%OpenAI, GPT-6 Astra, checked 2026-10-14 | |
| FrontierMath Tier 1-3 (v2) |
Cybersecurity
| Test | GPT-6 Astra | Qwen3.8-Max |
|---|---|---|
| ExploitBench | 100%OpenAI, GPT-6 Astra, checked 2026-10-14; printed on 2 more pages | 28.8%Z.ai, GLM-5.3 model card, checked 2026-10-15 |
General Knowledge and Reasoning
| Test | GPT-6 Astra | Qwen3.8-Max |
|---|---|---|
| Humanity's Last Exam (no tools) | 53.6%Moonshot AI, Introducing Kimi K3.1 Pro, checked 2026-10-24Effort: max; Tools: none; Fallback: with fallback | 43.6%Alibaba, Qwen3.8-Max comparison, checked 2026-10-14 |
| Humanity's Last Exam (with tools) | 57.2%OpenAI, GPT-6 Astra, checked 2026-10-14; printed on 3 more pagesTools: enabled; exact tools in source | 56.2%Alibaba, Qwen3.8-Max comparison, checked 2026-10-14; printed on 1 more pageTools: enabled; exact tools in source |
| SimpleQA Verified |
Tool Use and Workflows
| Test | GPT-6 Astra | Qwen3.8-Max |
|---|---|---|
| Agents' Last Exam (pass rate) | 34.2%Google, Gemini 4 Argon, checked 2026-10-29; printed on 1 more page | 27%Alibaba, Qwen3.8-Max comparison, checked 2026-10-14; printed on 1 more page |
| Agents' Last Exam (score) | 59.3%OpenAI, GPT-6 Astra, checked 2026-10-14 | 52.4%Alibaba, Qwen3.8-Max comparison, checked 2026-10-14 |
Healthcare
| Test | GPT-6 Astra | Qwen3.8-Max |
|---|---|---|
| HealthBench | 58.3OpenAI, GPT-6 Astra System Card, checked 2026-10-25; printed on 1 more page | 60.2Alibaba, Qwen3.8-Max comparison, checked 2026-10-14 |
Price
API list prices in US dollars per one million tokens, as printed on the developer's pricing page on the day checked; a dash means the developer lists that price in another unit or not at all. Cost per task is measured by Vals AI.
| Price | GPT-6 Astra | Qwen3.8-Max |
|---|---|---|
| Input | $10OpenAI, OpenAI API pricing, checked 2026-10-15Context: up to 272,000 tokens; Long context: $20 per 1M tokens above 272,000 tokens | $1.65Alibaba, Alibaba Model Studio pricing, checked 2026-10-15 |
| Cached input | $1OpenAI, OpenAI API pricing, checked 2026-10-15Context: up to 272,000 tokens; Long context: $2 per 1M tokens above 272,000 tokens | - |
| Cache write | $12.5OpenAI, OpenAI API pricing, checked 2026-10-15Context: up to 272,000 tokens; Long context: $25 per 1M tokens above 272,000 tokens | - |
| Output | $50OpenAI, OpenAI API pricing, checked 2026-10-15Context: up to 272,000 tokens; Long context: $75 per 1M tokens above 272,000 tokens | $4.951Alibaba, Alibaba Model Studio pricing, checked 2026-10-15 |
| Input, batch | $5OpenAI, OpenAI API pricing, checked 2026-10-15Context: up to 272,000 tokens; Long context: $10 per 1M tokens above 272,000 tokens | - |
| Cached input, batch | $0.5OpenAI, OpenAI API pricing, checked 2026-10-15Context: up to 272,000 tokens; Long context: $1 per 1M tokens above 272,000 tokens | - |
| Cache write, batch | $6.25OpenAI, OpenAI API pricing, checked 2026-10-15Context: up to 272,000 tokens; Long context: $12.5 per 1M tokens above 272,000 tokens | - |
| Output, batch | $25OpenAI, OpenAI API pricing, checked 2026-10-15Context: up to 272,000 tokens; Long context: $37.5 per 1M tokens above 272,000 tokens | - |
| Input, flex | $5OpenAI, OpenAI API pricing, checked 2026-10-15Context: up to 272,000 tokens; Long context: $10 per 1M tokens above 272,000 tokens | - |
| Cached input, flex | $0.5OpenAI, OpenAI API pricing, checked 2026-10-15Context: up to 272,000 tokens; Long context: $1 per 1M tokens above 272,000 tokens | - |
| Cache write, flex | $6.25OpenAI, OpenAI API pricing, checked 2026-10-15Context: up to 272,000 tokens; Long context: $12.5 per 1M tokens above 272,000 tokens | - |
| Output, flex | $25OpenAI, OpenAI API pricing, checked 2026-10-15Context: up to 272,000 tokens; Long context: $37.5 per 1M tokens above 272,000 tokens | - |
| Input, fast | $20OpenAI, OpenAI API pricing, checked 2026-10-15Context: up to 272,000 tokens; Long context: $40 per 1M tokens above 272,000 tokens | - |
| Cached input, fast | $2OpenAI, OpenAI API pricing, checked 2026-10-15Context: up to 272,000 tokens; Long context: $4 per 1M tokens above 272,000 tokens | - |
| Cache write, fast | $25OpenAI, OpenAI API pricing, checked 2026-10-15Context: up to 272,000 tokens; Long context: $50 per 1M tokens above 272,000 tokens | - |
| Output, fast | $100OpenAI, OpenAI API pricing, checked 2026-10-15Context: up to 272,000 tokens; Long context: $150 per 1M tokens above 272,000 tokens | - |
| Input, ultrafast | $60OpenAI, OpenAI API pricing, checked 2026-10-15Context: up to 272,000 tokens; Long context: $120 per 1M tokens above 272,000 tokens | - |
| Cached input, ultrafast | $6OpenAI, OpenAI API pricing, checked 2026-10-15Context: up to 272,000 tokens; Long context: $12 per 1M tokens above 272,000 tokens | - |
| Cache write, ultrafast | $75OpenAI, OpenAI API pricing, checked 2026-10-15Context: up to 272,000 tokens; Long context: $150 per 1M tokens above 272,000 tokens | - |
| Output, ultrafast | $300OpenAI, OpenAI API pricing, checked 2026-10-15Context: up to 272,000 tokens; Long context: $450 per 1M tokens above 272,000 tokens | - |
| Cost per taskVals AI, USD, lower is better |
GPT-6 Astra has 185 more and Qwen3.8-Max has 28 more: tests only one of them has a number for, listed on its model page.
More side by side
Every number here is read from the same catalog file as the benchmark table, data version 2026103001. A pair has a page when both models are their developers' flagships and both have a number for at least 10 of the same tests. Where one page printed a model under several setups, each value is listed. The catalog is public in armanobosyan/sugra-llm-benchmarks; a wrong number can be reported from the table, with Report an error under the value, or as an issue in that repository.