2.4-trillion-parameter MoE flagship for coding, professional work, multimodal understanding, and long-horizon agentic workflows
Qwen3.8 Max by alibaba is offered by 36 providers on this page. Public prices are shown for 32 of them. Its official list price is $2.00 per 1M input tokens and $6.00 per 1M output tokens. The lowest paid channel is Vancine at $1.60 / $4.80 per 1M, about 1.6× below the list price. That channel is a third-party gateway, so confirm its availability and rate limits before depending on it. It also has 1 free ($0) channel and 3 covered by a paid subscription; free tiers usually carry rate limits, and subscription-covered access bills $0 per token only after the subscription fee.
Artificial Analysis rates it 45.4 on the Intelligence Index, with 76.2 for coding and 56 for agentic tasks. Against its lowest blended price of $2.40 per 1M, that is roughly 19 index points per dollar, which is the value ratio the leaderboards rank on. Median output speed is 38 tokens per second, with 2.74s to the first token. Running one task of the Artificial Analysis suite costs about $5.4085, which reflects how many tokens its reasoning consumes rather than the unit price alone.
The context window is 1,000,000 tokens at the reference host, but hosts report different limits, from 256,000 to 1,048,576, so the usable window depends on the provider you pick. It supports reasoning, tool use, and structured output. Accepted input modalities are Text, Image, Video, and PDF. Providers report the capability flags inconsistently, so verify a specific feature against the host you plan to use.
Quality is independently evaluated by Artificial Analysis. Speed/latency are model-level medians.
| Provider | Tier | Input | Output | Cache read | Cache write | Context | Output limit | Status |
|---|---|---|---|---|---|---|---|---|
| Alibaba Token Plan | Gateway | Subscription | $0 | $0 | 1,000,000 | 131,072 | ||
| Alibaba Token Plan (China) | Gateway | Subscription | $0 | $0 | 1,000,000 | 131,072 | ||
| SCNet Token Plan Qwen3.8-Max | Gateway | Subscription | $0 | — | 1,000,000 | 131,072 | ||
| Kenari qwen3-8-max | Gateway | Free | — | — | 1,000,000 | 131,072 | ||
| Vancine | Gateway | $1.60 | $4.80 | $0.20 | — | 1,000,000 | 131,072 | |
| Deep Infra Qwen/Qwen3.8-Max | Cloud | $1.65 | $4.95 | $0.21 | — | 256,000 ⚠ | 131,072 | |
| AIHubMix | Gateway | $1.69 | $5.07 | $0.17 | $2.11 | 991,000 ⚠ | 128,000 | |
| Ofox | Gateway | $1.71 | $5.14 | $0.17 | $2.14 | 1,000,000 | 131,072 | |
| Alibaba (China)Official | First-party | $1.78 | $5.33 | $0.22 | $2.22 | 1,000,000 | 131,072 | |
| SCX.ai Qwen3.8-Max | Gateway | $1.82 | $5.45 | $0.17 | $2.50 | 1,000,000 | 131,072 | |
Sorted by blended price (input×0.75 + output×0.25) asc. The official channel always shows regardless of rank. Whether a gateway's low price is actually usable can't be verified.
Interleaved thinking (reasoning between tool calls) is declared by 14 of 36 providers.
3 / 36 providers expose no reasoning control (reasoning_options: []).
| Mode | Provider | Input | Output | Cache read | Cache write |
|---|---|---|---|---|---|
| priority | Fireworks AI | $3.00 | $9.00 | $0.38 | — |
4 more channels offer $0 (Alibaba Token Plan, Alibaba Token Plan (China), SCNet Token Plan etc.); free tiers usually have rate limits and no SLA, excluded from ranking.
| Name | Conditions | Score | Metric | Source |
|---|---|---|---|---|
| Terminal-Bench | harness: Claude Code · variant: 5h timeout · v2.1 | 86.6 | avg@10 | Source ↗ |
| SWE-Bench Pro | harness: Claude Code · dataset: Qwen refined and corrected task set | 67.7 | resolved | Source ↗ |
| DeepSWE | harness: Claude Code · v1.1 | 56.6 | score | Source ↗ |
| NL2Repo | harness: Claude Code | 55.9 | score | Source ↗ |
| FrontierSWE | — | 73.5 | dominance score | Source ↗ |
| MLS-Bench-Lite | harness: Claude Code · variant: 5h timeout | 41 | score | Source ↗ |
| PaperBench | harness: BasicAgent · variant: Code-Dev; 3 runs; 12h timeout; Opus 4.6 judge | 93 | score | Source ↗ |
| AndroidBench | dataset: 95 public tasks | 75.1 | avg@3 | Source ↗ |
| QwenSWEBench | harness: Claude Code · dataset: internal | 80.7 | avg@3 | Source ↗ |
| QwenQoderBench | harness: Claude Code · dataset: internal | 58.4 | avg@5 | Source ↗ |
| QwenReactBench | dataset: internal | 1724 | Elo | Source ↗ |
| QwenSVGBench | dataset: internal | 1713 | Elo | Source ↗ |
| CoWorkBench | dataset: internal | 74.8 | score | Source ↗ |
| WorkSpaceBench | — | 67.7 | score | Source ↗ |
| JobBench | — | 53.4 | score | Source ↗ |
| SkillsBench | harness: OpenCode · dataset: 87 tasks · v1.1 | 70.2 | avg@3 | Source ↗ |
| Agents' Last Exam | — | 27 | pass@1 | Source ↗ |
| Agents' Last Exam | — | 52.4 | score | Source ↗ |
| AutomationBench | dataset: 600 public tasks | 27.3 | pass@1 | Source ↗ |
| Toolathlon-Verified | — | 72.5 | pass@1 | Source ↗ |
| WideSearch | harness: Qwen-Agent | 81.9 | average item F1 | Source ↗ |
| Humanity's Last Exam | variant: with tools | 56.2 | score | Source ↗ |
| Humanity's Last Exam | variant: without tools | 43.6 | score | Source ↗ |
| GPQA Diamond | — | 92.6 | score | Source ↗ |
| IFBench | — | 82.8 | score | Source ↗ |
| $OneMillion-Bench | variant: gemini-3.1-pro-preview judge | 52.5 | expert score | Source ↗ |
| HealthBench | — | 60.2 | score | Source ↗ |
| PLawBench | variant: gemini-3.1-pro-preview judge | 73.2 | score | Source ↗ |
| PRBench | variant: legal | 57.6 | score | Source ↗ |
| PRBench | variant: finance | 58.3 | score | Source ↗ |
| MRCR | dataset: 256K; 8-needle · v2 | 92.9 | score | Source ↗ |
| LongBench | v2 | 66.3 | score | Source ↗ |
The same benchmark scores very differently across harness / dataset, so the qualifying conditions must be shown together.
Individual evaluations run by Artificial Analysis, on the same reasoning tier as the intelligence score above. Each benchmark has its own task set and harness, so rows are not comparable with one another. The Intelligence Index above draws on a different, newer set of evaluations.