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Alibaba

Qwen3.8 Max benchmarks & scores

Alibaba Open weights Released Aug 2026 Official website
63.3
Vibe Coding Index · #5 of 108

Independent Qwen3.8 Max AI coding benchmark results Intelligence 53, Coding 78, Agentic 50, with a Vibe Coding Index of 63.3. Compare its overall rank, token price, context window, and practical agentic workflow strengths below.

Blended price #86/113
$3
$/M tokens · 3 to 1 in, out
Context
1M
Window size

Evidence confidence

Medium confidence

100% core coverage

Complete core scores supported by one current verified source.

3/3
Core scores
2
Evidence sources
Aug 4
Last measured

Catalog capabilities

What the model supports

1M context
Frequency penalty Include reasoning Logprobs Max tokens Presence penalty Reasoning Reasoning effort Response format Seed Stop
Input
Text, Image, Video
Output
Text
Knowledge cutoff
Not listed
Cache read price
$0.25 per million tokens

Suite radar

Intelligence Coding Agentic

Suite scores

Intelligence #10/108
General reasoning & knowledge (Intelligence Index)
53.4
Coding #5/126
Code generation & software tasks (Coding Index)
78.2
Agentic #5/109
Multi-step tool use & agentic workflows (Agentic Index)
49.9

Task placements

Where Qwen3.8 Max places outside the VCI blend

Head-to-head preference boards that never rewrite the suite scores above — Arena Code WebDev and Design Arena categories only.

Arena Code WebDev

Preliminary

Human preference for web development outputs. Separate from Artificial Analysis coding until blended into the published Coding suite score.

Coding suite score above (78.2, multi-source index) includes this signal when current.

Rank
#3 /53
ELO
1,668 ±18
Source #
4
Votes
1,563

Design Arena categories

Task leaderboards for Qwen3.8 Max

Website, UI, game, data viz, and other tournament boards — not used in the Vibe Coding Index formula.

No Design Arena category row is matched to Qwen3.8 Max yet. Browse the web development and other category boards for the wider field.

Source record

Source. Artificial Analysis (artificialanalysis.ai) via OpenRouter (openrouter.ai/rankings).

TheVibeFather rankings

Qwen3.8 Max practical agentic coding scorecard

This is our algorithmic assessment of where Qwen3.8 Max ranks for common vibe coding and agentic engineering workflows. Every stable 0–10 score is calculated consistently from the sourced Intelligence, Coding, and Agentic signals above—never from an unsourced opinion score.

Overall VibeFather rating
6.3 /10
#5 of 108 models
Practical area

Small, well-defined code changes

Precision on scoped edits, fixes, and implementation tasks.

Strong 7.1/10
Field rank #5 / 108

UI and CSS iteration

Front-end implementation with iterative tool-driven refinement.

Strong 7.3/10
Field rank #5 / 109

Routine debugging

Diagnosing failures and turning reasoning into correct code changes.

Strong 6.5/10
Field rank #6 / 108

Repository-wide refactors

Coordinating larger edits across files while preserving intent.

Strong 6.4/10
Field rank #5 / 108

Architecture decisions

Reasoning through tradeoffs, constraints, and system-level choices.

Capable 5.2/10
Field rank #7 / 108

Tool use and workflow execution

Planning and completing multi-step work with tools and feedback loops.

Capable 5.7/10
Field rank #5 / 109

Long autonomous coding tasks

Sustaining coherent progress across longer agentic engineering runs.

Capable 5.1/10
Field rank #5 / 108

Overall VibeFather rating

Our complete Vibe Coding Index, expressed on the same 0–10 practical scale.

Strong 6.3/10
Field rank #5 / 108
1 · Sourced signals

We start with Intelligence, Coding, Agentic benchmark evidence, and preserve missing values as unverified.

2 · Practical lenses

Our code-controlled algorithm blends the native 0–100 signals by workflow and expresses the result on a stable 0–10 scale. Every required input must be present.

3 · Field ranking

Each workflow score is ranked against every model with comparable evidence, so positions update when the benchmark field changes.

The Vibe Coding Index is TheVibeFather’s code-controlled 0–100 composite for practical coding and agentic capability. Price and adoption are reported independently and never alter quality. Exact weighting remains proprietary, inputs, missing-data behavior, and per-category ranks are disclosed here. Read the benchmark methodology →

Recorded score history

How Qwen3.8 Max has moved

All benchmark history →
66.0 63.5 61.0
Aug 3, 2026 10 PM CT
63.3 rank 5

No material score or rank change.

Aug 3, 2026 9 PM CT
63.3 rank 5

No material score or rank change.

Aug 3, 2026 8 PM CT
63.3 rank 5

Baseline snapshot recorded.

Where Qwen3.8 Max sits

Its logo stays full-color and highlighted while the rest of the field recedes for quick comparison.

Efficient frontier Dashed guides = field medians 28 model(s) hidden — data not yet verified
Vendor key (25)
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Qwen

Company pulse

Latest from Qwen

Up to ten recent public posts from the company, linked to the originals on X.

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Model benchmark FAQ

Qwen3.8 Max for vibe coding and agentic engineering

Answers update from this model’s current sourced scores, practical rankings, and verified pricing.

What is Qwen3.8 Max's Vibe Coding Index?

Qwen3.8 Max has a Vibe Coding Index of 63.3/100 and is #5 of 108 in the current field. The index is TheVibeFather's stable composite for practical AI coding, combining independently sourced Intelligence, Coding, and Agentic benchmark signals. Price and adoption are compared separately and never inflate the quality score.

How does Qwen3.8 Max rank for vibe coding?

For vibe coding, Qwen3.8 Max's strongest practical area is UI and CSS iteration at 7.3/10, ranking #5 of 109 models in TheVibeFather rankings.

Is Qwen3.8 Max good for agentic coding and autonomous tasks?

Qwen3.8 Max scores 5.7/10 for tool use and workflow execution and 5.1/10 for long autonomous coding tasks. Those categories emphasize the Agentic benchmark signal used for multi-step planning, tool calls, edits, tests, and feedback loops.

What coding benchmark scores does Qwen3.8 Max have?

The current sourced benchmark profile for Qwen3.8 Max is Intelligence 53/100, Coding 78/100, Agentic 50/100. TheVibeFather converts those 0–100 signals into consistent practical 0–10 workflow scores so models can be compared for real agentic engineering work.

How much does Qwen3.8 Max cost for agentic engineering?

The current benchmark uses a 3 to 1 input-to-output blend of $3 per million blended tokens. That places it #86 of 113 by price, where a lower rank number means less expensive.

Are vibe coding, agentic coding, and agentic engineering the same?

They describe overlapping AI-assisted software workflows. Vibe coding emphasizes directing software through intent and iteration, agentic coding emphasizes a model planning and executing multi-step work with tools, agentic engineering is the broader discipline of designing, supervising, and validating those workflows. TheVibeFather benchmarks the shared capabilities behind all three terms on every model page, including Qwen3.8 Max.