Qwen3.7 Max vs Qwen3.8 Max Preview

Updated September 29, 2026. We do not rank this pair: at least one has no public score. Public scores include evidence status and uncertainty.

Decision reading

At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner. 1 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

Model A

Qwen3.7 Max

Alibaba

63.21/100

Supported · Public rank #39

90% interval 53.9–72.5

Model B

Qwen3.8 Max Preview

Alibaba

—

Evidence status unavailable

90% interval unavailable

Shared results: 1
Qwen3.7 Max only: 40
Qwen3.8 Max Preview only: 0
Like-for-like categories: 0 / 8

Supported: Qwen3.7 MaxHow the comparison works

Which one for your work

Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.

No workload recommendation clears the current evidence threshold.

Use the matched evidence, workload costs, and sourced specifications below instead of treating a point score as a universal answer.

Show secondary and unsupported calls

Coding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
Qwen3.8 Max Preview is not ranked on the public lane for coding, so no winner is named for coding.
Confidence: limited
Agentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
Qwen3.8 Max Preview is not ranked on the public lane for agentic, so no winner is named for agentic.
Confidence: limited
Long documents
Prompts that approach the documented context limit
Not enough matched evidence
A complete context comparison is not sourced.
Confidence: limited
Chat turn cost
1K fresh input + 500 output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
Cache-heavy agent loop cost
200K cached + 20K fresh input + 10K output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
Repository review cost
50K fresh input + 3K output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates

Which one for a specific job

Choose a job from the LLM Selector's task catalog to see the category row it rests on, under the same basis rules as the table below. A directional row stays directional; choosing a job never creates a winner.

Pick the job you would use them for

The same task catalog as the LLM Selector. Each job names the evidence surface it rests on; nothing here adds a new score.

45.8Qwen3.7 Max—Qwen3.8 Max Preview

Not comparable · BenchAlign v5.7

The coding row is not comparable on the public lane: at least one model is not measured or not ranked there.

Coding scores combine specific tasks and setups. Match the editor, harness, and effort to your workflow.

Open the coding leaderboard Shortlist models for this job

Same basis rules as the category table below

Shape of the matched evidence

Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.

A shared-evidence shape is not available.

BenchLM does not draw a radar or infer missing axes when the matched evidence is too sparse.

Category results, on a stated basis

Each row shows the public-lane category score for both models: the BenchAlign v5.7 lane for agentic, coding, and knowledge, and the weighted public rows elsewhere, with the same rank each model page reports. A row is like-for-like only when both scores rest on Supported evidence or the same weighted set. Directional and not-comparable rows remain visible, but they never receive a winner.

Agentic

Not comparable

Qwen3.7 Max: 39.6; Supported · #56/117
Qwen3.8 Max Preview: Not ranked
Basis: BenchAlign v5.7 lane · 10 vs 0 public rows
Reading: Not comparable

Coding

Not comparable

Qwen3.7 Max: 45.8; Supported · #50/143
Qwen3.8 Max Preview: Not ranked
Basis: BenchAlign v5.7 lane · 10 vs 1 public rows
Reading: Not comparable

Reasoning

Not comparable

Qwen3.7 Max: 76.3; Unranked · 3 rankable rows
Qwen3.8 Max Preview: Not ranked
Basis: Provisional lane · 1 vs 0 weighted rows
Reading: Not comparable

Multimodal

Not comparable

Qwen3.7 Max: Not ranked
Qwen3.8 Max Preview: Not ranked
Basis: Provisional lane · 0 vs 0 weighted rows
Reading: Not comparable

Knowledge

Not comparable

Qwen3.7 Max: 60.6; Supported · #38/169
Qwen3.8 Max Preview: Not ranked
Basis: BenchAlign v5.7 lane · 9 vs 0 public rows
Reading: Not comparable

Multilingual

Not comparable

Qwen3.7 Max: 100.0; #1/12
Qwen3.8 Max Preview: Not ranked
Basis: Provisional lane · 1 vs 0 weighted rows
Reading: Not comparable

Instruction following

Not comparable

Qwen3.7 Max: 89.2; #17/124
Qwen3.8 Max Preview: Not ranked
Basis: Provisional lane · 1 vs 0 weighted rows
Reading: Not comparable

Math

Not comparable

Qwen3.7 Max: 81.9; Unranked · 3 rankable rows
Qwen3.8 Max Preview: Not ranked
Basis: Provisional lane · 1 vs 0 weighted rows
Reading: Not comparable

Category scores with the server-provided evidence basis for Qwen3.7 Max and Qwen3.8 Max Preview
Category	Qwen3.7 Max	Qwen3.8 Max Preview	Basis	Reading
Agentic	39.6Supported · #56/117	Not ranked	Not comparableBenchAlign v5.7 lane · 10 vs 0 public rows	Not comparable
Coding	45.8Supported · #50/143	Not ranked	Not comparableBenchAlign v5.7 lane · 10 vs 1 public rows	Not comparable
Reasoning	76.3Unranked · 3 rankable rows	Not ranked	Not comparableProvisional lane · 1 vs 0 weighted rows	Not comparable
Multimodal	Not ranked	Not ranked	Not comparableProvisional lane · 0 vs 0 weighted rows	Not comparable
Knowledge	60.6Supported · #38/169	Not ranked	Not comparableBenchAlign v5.7 lane · 9 vs 0 public rows	Not comparable
Multilingual	100.0#1/12	Not ranked	Not comparableProvisional lane · 1 vs 0 weighted rows	Not comparable
Instruction following	89.2#17/124	Not ranked	Not comparableProvisional lane · 1 vs 0 weighted rows	Not comparable
Math	81.9Unranked · 3 rankable rows	Not ranked	Not comparableProvisional lane · 1 vs 0 weighted rows	Not comparable

Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign v5.7) differ from the provisional-lane categories. Unranked scores sit on the provisional lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.

Supported evidence per lane · bars run 0–100Methodology

What each workload costs

Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.

Chat turn

1K fresh input + 500 output tokens

Qwen3.7 Max: API rate not published; Fits in one request
Qwen3.8 Max Preview: API rate not published; Fit state unavailable

Qwen3.7 Max has no comparable published API token rate. Qwen3.8 Max Preview has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Qwen3.7 Max: API rate not published; Fits in one request
Qwen3.8 Max Preview: API rate not published; Fit state unavailable

Qwen3.7 Max has no comparable published API token rate. Qwen3.8 Max Preview has no comparable published API token rate.

Cache-heavy agent loop

200K cached + 20K fresh input + 10K output tokens

Qwen3.7 Max: API rate not published; Fits in one request; Cached-input rate unavailable
Qwen3.8 Max Preview: API rate not published; Fit state unavailable; Cached-input rate unavailable

Qwen3.7 Max has no comparable published API token rate. Qwen3.8 Max Preview has no comparable published API token rate.

Cached input falls back to the list input rate only where a cached rate is unpublished

Specification differences

Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.

SpecificationQwen3.7 MaxQwen3.8 Max Preview

Context window

Maximum documented context; output-token limits may be lower.

Qwen3.7 Max

Qwen3.8 Max Preview

Not sourced

API model ID

Qwen3.7 Max

Not sourced

Qwen3.8 Max Preview

Not sourced

Cached-input rate

A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.

Qwen3.7 Max

No comparable hosted API rate

Qwen3.8 Max Preview

No comparable hosted API rate

Documented inputs

Qwen3.7 Max

Not sourced

Qwen3.8 Max Preview

Not sourced

Documented outputs

Qwen3.7 Max

Not sourced

Qwen3.8 Max Preview

Not sourced

Provider availability

Qwen3.7 Max

Not sourced

Qwen3.8 Max Preview

Not sourced

Reasoning profile

Qwen3.7 Max

Reasoning

Qwen3.8 Max Preview

Reasoning

Weight access

Qwen3.7 Max

Proprietary

Qwen3.8 Max Preview

Proprietary

License

Qwen3.7 Max

Proprietary

Qwen3.8 Max Preview

Proprietary

Release date

Qwen3.7 Max

2026-05-16

Qwen3.8 Max Preview

2026-07-19

If you are considering the documented upgrade path

Deployment change: Both entries list Alibaba as the provider. Confirm endpoint, model ID, limits, and feature support before switching.
Quality signal: At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.
Workload cost: A complete comparable API-rate estimate is not available for both models.
Context tradeoff: A complete documented context comparison is not available.

Run the same representative tasks against both endpoints before changing production traffic.

Questions

Which is better, Qwen3.7 Max or Qwen3.8 Max Preview?

At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner. The page therefore keeps the decision tied to the specific documented workload.

Which is better for coding, Qwen3.7 Max or Qwen3.8 Max Preview?

Qwen3.8 Max Preview is not ranked on the public lane for coding, so no winner is named for coding.

Which is better for agentic tasks, Qwen3.7 Max or Qwen3.8 Max Preview?

Qwen3.8 Max Preview is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.

Which costs less, Qwen3.7 Max or Qwen3.8 Max Preview?

Both models do not have comparable published API token rates, so this page does not name a universal price winner.

Which has the larger context window, Qwen3.7 Max or Qwen3.8 Max Preview?

A complete documented context-window comparison is not available.

Benchmark evidence

The full public result ledger is available for audit without forcing a wide desktop table onto a phone.

Browse raw public benchmark evidence41 rows

Agentic

Terminal-Bench 2.0
Qwen3.7 Max69.7%
Source
Qwen3.8 Max Preview—
Not directly comparable
QwenClawBench
Qwen3.7 Max64.3%
Source
Qwen3.8 Max Preview—
Not directly comparable
Claw-Eval
Qwen3.7 Max65.2%
Source
Qwen3.8 Max Preview—
Not directly comparable
BFCL v4
Qwen3.7 Max75.0%
Source
Qwen3.8 Max Preview—
Not directly comparable
MCP Atlas
Qwen3.7 Max76.4%
Source
Qwen3.8 Max Preview—
Not directly comparable
VITA-Bench
Qwen3.7 Max47.9%
Source
Qwen3.8 Max Preview—
Not directly comparable
HLE w/ tools
Qwen3.7 Max53.5%
Source
Qwen3.8 Max Preview—
Not directly comparable
Gert Labs
Qwen3.7 Max64.27%
Source
Qwen3.8 Max Preview—
Not directly comparable
ResearchClawBench
Qwen3.7 Max18.7%
Source
Qwen3.8 Max Preview—
Not directly comparable
Terminal-Bench 2.1 (Vals)
Qwen3.7 Max61.0%
Source
Qwen3.8 Max Preview—
Not directly comparable

Coding

SWE-bench Verified
Qwen3.7 Max80.4%
Source
Qwen3.8 Max Preview—
Not directly comparable
SWE-bench Pro
Qwen3.7 Max60.6%
Source
Qwen3.8 Max Preview—
Not directly comparable
SWE Multilingual
Qwen3.7 Max78.3%
Source
Qwen3.8 Max Preview—
Not directly comparable
NL2Repo
Qwen3.7 Max47.2%
Source
Qwen3.8 Max Preview—
Not directly comparable
SciCode
Qwen3.7 Max53.5%
Source
Qwen3.8 Max Preview—
Not directly comparable
LiveCodeBench
Qwen3.7 Max91.6%
Source
Qwen3.8 Max Preview—
Not directly comparable
Terminal-Bench 2.0
Qwen3.7 Max69.7%
Source
Qwen3.8 Max Preview—
Not directly comparable
OpenHarmony Bench
Shared source
Qwen3.7 Max53.4%
Qwen3.8 Max Preview56.0%
Qwen3.8 Max Preview leads this result
LiveCodeBench (Vals)
Qwen3.7 Max87.1%
Source
Qwen3.8 Max Preview—
Not directly comparable
SWE-bench (Vals)
Qwen3.7 Max68.8%
Source
Qwen3.8 Max Preview—
Not directly comparable

Reasoning

MRCRv2
Qwen3.7 Max90.4%
Source
Qwen3.8 Max Preview—
Not directly comparable
CritPt
Qwen3.7 Max13.4%
Source
Qwen3.8 Max Preview—
Not directly comparable

Knowledge

GPQA
Qwen3.7 Max92.4%
Source
Qwen3.8 Max Preview—
Not directly comparable
GPQA-D
Qwen3.7 Max92.4%
Source
Qwen3.8 Max Preview—
Not directly comparable
HLE
Qwen3.7 Max41.4%
Source
Qwen3.8 Max Preview—
Not directly comparable
MMLU-Pro
Qwen3.7 Max89.6%
Source
Qwen3.8 Max Preview—
Not directly comparable
MMLU-Redux
Qwen3.7 Max95%
Source
Qwen3.8 Max Preview—
Not directly comparable
SuperGPQA
Qwen3.7 Max73.6%
Source
Qwen3.8 Max Preview—
Not directly comparable
MMMLU
Qwen3.7 Max90.3%
Source
Qwen3.8 Max Preview—
Not directly comparable
GPQA Diamond (Vals)
Qwen3.7 Max90.2%
Source
Qwen3.8 Max Preview—
Not directly comparable
MMLU-Pro (Vals)
Qwen3.7 Max89.3%
Source
Qwen3.8 Max Preview—
Not directly comparable

Multilingual

MMLU-ProX
Qwen3.7 Max87%
Source
Qwen3.8 Max Preview—
Not directly comparable
NOVA-63
Qwen3.7 Max59.0%
Source
Qwen3.8 Max Preview—
Not directly comparable
INCLUDE
Qwen3.7 Max86.2%
Source
Qwen3.8 Max Preview—
Not directly comparable
MAXIFE
Qwen3.7 Max89.2%
Source
Qwen3.8 Max Preview—
Not directly comparable
PolyMath
Qwen3.7 Max86.5%
Source
Qwen3.8 Max Preview—
Not directly comparable

Instruction following

IFEval
Qwen3.7 Max94.3%
Source
Qwen3.8 Max Preview—
Not directly comparable
IFBench
Qwen3.7 Max79.1%
Source
Qwen3.8 Max Preview—
Not directly comparable

Math

HMMT Feb 2026
Qwen3.7 Max97.1%
Source
Qwen3.8 Max Preview—
Not directly comparable
IMOAnswerBench
Qwen3.7 Max90.0%
Source
Qwen3.8 Max Preview—
Not directly comparable
Apex
Qwen3.7 Max44.5%
Source
Qwen3.8 Max Preview—
Not directly comparable

41 public results · 1 shared

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Last updated September 29, 2026

Qwen3.7 Max vs Qwen3.8 Max Preview

Decision reading

Which one for your work

Coding work

Agentic work

Long documents

Chat turn cost

Cache-heavy agent loop cost

Repository review cost

Which one for a specific job

What is actually comparable

Shape of the matched evidence

Category results, on a stated basis

Agentic

Coding

Reasoning

Multimodal

Knowledge

Multilingual

Instruction following

Math

What each workload costs

Chat turn

Repository review

Cache-heavy agent loop

Specification differences

Context window

API model ID

Cached-input rate

Documented inputs

Documented outputs

Provider availability

Reasoning profile

Weight access

License

Release date

If you are considering the documented upgrade path

Questions

Which is better, Qwen3.7 Max or Qwen3.8 Max Preview?

Which is better for coding, Qwen3.7 Max or Qwen3.8 Max Preview?

Which is better for agentic tasks, Qwen3.7 Max or Qwen3.8 Max Preview?

Which costs less, Qwen3.7 Max or Qwen3.8 Max Preview?

Which has the larger context window, Qwen3.7 Max or Qwen3.8 Max Preview?

Benchmark evidence

Agentic

Coding

Reasoning

Knowledge

Multilingual

Instruction following

Math

Related comparisons

Watch Qwen3.7 Max vs Qwen3.8 Max Preview