Model profile
Alibaba
New in 2026

Qwen: Qwen3.8 Max

Qwen: Qwen3.8 Max is a mid-range-priced multimodal generalist from Alibaba with heavy runtime profile, large context posture, and the clearest fit around long-context research / agent workflows.

Best for: Long-context research / Agent workflowsHeavy latencyLarge contextMid-range pricing
Intelligence
58.1

Benchmark blend

Coding
71.8

Dev workflow signal

Context
1000K Tokens

Large

Input Price
$2.00

Mid-range tier

Decision snapshot
66

Qwen: Qwen3.8 Max currently reads as a mid-range multimodal option with large context and a heavy runtime profile.

Overall profile
Selective fit
Best for
Long-context research / Agent workflows
Latency tier
Heavy
Price tier
Mid-range
Source coverage
OpenRouterArtificial AnalysisVision signal

Decision Strip

Decision rail before the raw tables

Core buy-side signals stay in one pass. The rest of the page expands only after intelligence, speed, context, and price are clear.

Intelligence
58.1
58

General reasoning and benchmark headroom.

Competitive
Speed
47 tok/s
47

TTFT 1.82s

Situational
Context
1000K Tokens
100

How much prompt and task state can stay in view.

Above average
Price
$2.00
62

$6.00 output / 1M

Competitive

Editorial Profile

Qwen: Qwen3.8 Max in one narrative

Positioning, tradeoffs, and fit are consolidated into one read instead of repeating the same story across separate cards.

Selective fitCoding score 72Math score N/AVision enabled

Qwen3.8 Max is the flagship model in Alibaba's Qwen3.8 series, the general-availability successor to the Qwen3.8 Max Preview. It is a multimodal reasoning model intended for complex reasoning, visual understanding,...

Identity

Alibaba multimodal profile

Positioning

Long-context research / Agent workflows with large context and heavy runtime.

Cost posture

Balanced spend profile. Easier to justify in mixed production and exploration workloads.

Strengths
  • Coding indicators point to a strong developer workflow fit.

  • Large context headroom supports repo-wide prompts and long research sessions.

  • Vision-capable routing opens up multimodal review and extraction workflows.

Tradeoffs
  • Costs look manageable, but still deserve attention in always-on agents or batch jobs.

  • Latency profile is better for deliberate runs than rapid back-and-forth chat.

Best fit
  • Code generation, refactors, test writing, and tool-assisted debugging.

  • Image-grounded review, multimodal extraction, and UI audit workflows.

  • Long-context summarization, repo analysis, and policy or document review.

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Context
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Benchmarks

Grouped by job-to-be-done

Only benchmark categories with actual signal are shown. Secondary values stay as simple definitions instead of nested micro-cards.

General intelligence

Broad reasoning, knowledge depth, and flagship benchmark posture.

Intelligence Index
58.1
GPQA
92.7%
HLE
43.0%
Coding

Software implementation, debugging quality, and coding benchmark signal.

Coding Index
71.8
SciCode
52.9%
Agent / tool use

Long-horizon execution quality and interactive benchmark evidence.

LCR
74.3%

Extra benchmark cuts are not available for this category yet.

Specs & Pricing

Technical snapshot and cost posture

Specs stay neutral, pricing gets emphasis through values rather than extra containers. Raw provider internals remain in metadata at the end.

Technical snapshot
Context Window
1000K Tokens
Vision
Enabled
Modalities
image, text, video
Tokenizer
Qwen
Max Completion
131072
Moderation
No
Supported Parameters
frequency_penaltyinclude_reasoninglogprobsmax_tokenspresence_penaltyreasoningreasoning_effortresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p
Input Modalities
imagetextvideo
Output Modalities
text
Price architecture
Input
per 1M input tokens
$2.00
Output
per 1M output tokens
$6.00
Blended
AA 3:1 mix
$3.00

This model sits in a balanced spend range. It is easier to justify across both production and exploratory workflows.

OR Cache Read
$0.00
OR Cache Write
$0.00

Metadata

Raw source tables at the end

Verification details remain available, but the page no longer forces them ahead of the editorial read.