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Qwen3.8-Max benchmarks, pricing and specs

Qwen3.8-Max is an Alibaba Qwen model released on August 3, 2026 that takes text, image and video input and produces text. It costs $2 per 1M input tokens and $6 per 1M output tokens and accepts up to 1,000,000 tokens of context. It scores 1483 Elo on Arena Text, #12 of 39 current models (Arena, measured October 8, 2026).

Per 1M input tokens
$2
Per 1M output tokens
$6
Context window
1M
Arena Text
1483 Elo · #12/39

Data verified October 12, 2026 · Dataset 2026-10-12

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Key facts

Provider
Alibaba Qwen
Model family
Qwen3.8
Release date
August 3, 2026
Status
Current
Access
API only
API model id
Not reported
Context window
1,000,000 tokens
Max output
131,072 tokens
Input
text, image, video
Output
text
Task families
text, multimodal
Declared capabilities
reasoning

Qwen3.8-Max pricing

It is the #12 most expensive of 37 current text models priced per 1M input tokens.

UnitPrice (USD)TierAppliesSource
1M input tokens$2standardCurrent
1M output tokens$6standardCurrent
1M input tokens$0.25cachedCurrent

Independent benchmark results

Scores come from independent evaluators that ran the model themselves, pinned to a dated snapshot. Rank is among current models in the same snapshot. Alibaba Qwen's own launch figures are listed under strengths with the publisher named, because they are not measured the same way.

BenchmarkScoreRankMeasuredSource
Arena Text1483 Elo#12 of 39October 8, 2026Arena · 2026-10-12
GPQA Diamond92.7%#17 of 37October 12, 2026Epoch AI · 2026-10-12
FrontierMath Tiers 1-3 (v2)74.7%#17 of 37October 12, 2026Epoch AI · 2026-10-12
SimpleQA Verified45.8%#22 of 34October 12, 2026Epoch AI · 2026-10-12

Strengths, cautions and best uses

Strengths

  • A 2.4-trillion-parameter mixture-of-experts model activating about 95 billion parameters per query, with a 1M-token context window and reasoning enabled by default
  • Output is the cheapest of any frontier-tier text model here at $6 per million, an eighth of GPT-6 Astra and Claude Fable 5.1
  • Accepts text, image and video input and returns text
  • The 0902 post-training refresh (2 September 2026) targets coding and agent performance specifically

Cautions

  • Two releases share the name: the original 3 August 2026 model and the 0902 refresh. The rates and limits here are read from the 0902 listing
  • Reported benchmark placements come from Alibaba and from public arena boards rather than a common pinned snapshot, so they are not comparable with the LiveBench results in this dataset

Best for

  • Output-heavy generation workloads where the $6 per million output rate is the deciding factor
  • Agentic and coding evaluations that need a 1M-token window at mid-tier cost

Alternatives to Qwen3.8-Max

The closest current textmodels by price. The cheapest model that scores as well or better is listed first; failing that, the cheapest one within 3% of the benchmark's scale.

Compare Qwen3.8-Max with

Other Qwen3.8 models

Qwen3.8-Max FAQ

How much does Qwen3.8-Max cost?

Qwen3.8-Max costs $2 per 1M input tokens and $6 per 1M output tokens at the standard tier. It is the #12 most expensive of 37 current text models priced per 1M input tokens. Source: OpenRouter, verified September 9, 2026.

What is the context window of Qwen3.8-Max?

Qwen3.8-Max accepts up to 1,000,000 tokens of context. It can return up to 131,072 tokens in one response. That ranks #24 of 44 current text models by context length.

How does Qwen3.8-Max score on independent benchmarks?

Qwen3.8-Max scores 1483 Elo on Arena Text, #12 of 39 current models (Arena, measured October 8, 2026), 92.7% on GPQA Diamond, #17 of 37 current models (Epoch AI, measured October 12, 2026) and 74.7% on FrontierMath Tiers 1-3 (v2), #17 of 37 current models (Epoch AI, measured October 12, 2026). These are independent evaluations, not Alibaba Qwen's own launch figures.

Is Qwen3.8-Max open source or API only?

Qwen3.8-Max is available through Alibaba Qwen's API only; its weights are not published.

What are the best alternatives to Qwen3.8-Max?

The closest current alternatives by price and measured performance are Gemini 3.8 Flash (63% cheaper per 1M input tokens, $0.75 vs $2), Claude Sonnet 5 (same price per 1M input tokens, $2), Claude Sonnet 5.5 (same price per 1M input tokens, $2) and GPT-4.1 (same price per 1M input tokens, $2).

Sources

Cite this page

Van Data Team. "Qwen3.8-Max Benchmarks, Pricing and Specs." AI Model Benchmark Dataset 2026-10-12. https://vandatateam.com/ai-model-benchmarks/qwen3-8-max

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Production evaluation

Deciding whether Qwen3.8-Max fits your workload?

Public benchmarks narrow the shortlist. We test the finalists on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.

  • Evaluation cases and acceptance thresholds tied to real work
  • Model routing, fallbacks and cost controls