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BenchLM
Data

Qwen3.7 Max vs Solar Pro 4

Updated October 25, 2026. We do not rank this pair: at least one has no public score. Public scores include evidence status and uncertainty.

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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. 4 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

Model A
Alibaba logo

Alibaba

62.48/100

Supported · Public rank #48

90% interval 52.7–72.2

Model B
Upstage logo

Upstage

—

Evidence status unavailable

90% interval unavailable

Shared results
4
Qwen3.7 Max only
39
Solar Pro 4 only
6
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.

  • Long documents

    Prompts that approach the documented context limit

    Qwen3.7 Max

    Qwen3.7 Max has the larger documented context window.

    Confidence: documented
Show secondary and unsupported calls
  • Coding work

    Code generation, repair, and software-engineering tasks

    Not enough matched evidence

    Solar Pro 4 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

    Solar Pro 4 is not ranked on the public lane for agentic, so no winner is named for agentic.

    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.

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

44.4Qwen3.7 Max—Solar Pro 4

Not comparable · BenchAlign v5.8

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.

Same basis rules as the category table below

What is actually comparable

Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.

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.

Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.

Bars run 0–100 on each benchmark’s normalized display scale

Category results, on a stated basis

Each row shows the public-lane category score for both models: the BenchAlign v5.8 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
40.7
Supported · #69/132
Solar Pro 4
Not ranked
Basis
BenchAlign v5.8 lane · 10 vs 4 public rows
Reading
Not comparable

Coding

Not comparable
Qwen3.7 Max
44.4
Supported · #57/153
Solar Pro 4
Not ranked
Basis
BenchAlign v5.8 lane · 10 vs 3 public rows
Reading
Not comparable

Reasoning

Not comparable
Qwen3.7 Max
81.4
Unranked · 3 rankable rows
Solar Pro 4
Not ranked
Basis
Provisional lane · 1 vs 0 weighted rows
Reading
Not comparable

Multimodal

Not comparable
Qwen3.7 Max
Not ranked
Solar Pro 4
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Knowledge

Not comparable
Qwen3.7 Max
60.5
Supported · #47/187
Solar Pro 4
Not ranked
Basis
BenchAlign v5.8 lane · 9 vs 2 public rows
Reading
Not comparable

Multilingual

Not comparable
Qwen3.7 Max
100.0
#1/17
Solar Pro 4
Not ranked
Basis
Provisional lane · 1 vs 0 weighted rows
Reading
Not comparable

Instruction following

Not comparable
Qwen3.7 Max
92.8
#17/153
Solar Pro 4
Not ranked
Basis
Provisional lane · 1 vs 0 weighted rows
Reading
Not comparable

Math

Not comparable
Qwen3.7 Max
79.0
#2/12
Solar Pro 4
Not ranked
Basis
Provisional lane · 3 vs 1 weighted rows
Reading
Not comparable

Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign v5.8) 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
Solar Pro 4
$0.0009
Fits in one request

Qwen3.7 Max 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
Solar Pro 4
$0.0186
Fits in one request

Qwen3.7 Max 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
Solar Pro 4
$0.03
Fits in one request

Qwen3.7 Max 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.

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

Solar Pro 4

$0.06 per 1M cached input tokens

Upstage Solar Pro 4 launch post

Documented inputs

Qwen3.7 Max

Not sourced

Solar Pro 4

Not sourced

Documented outputs

Qwen3.7 Max

Not sourced

Solar Pro 4

Not sourced

Provider availability

Qwen3.7 Max

Not sourced

Solar Pro 4

Not sourced

Reasoning profile

Qwen3.7 Max

Reasoning

Solar Pro 4

Reasoning

Weight access

Qwen3.7 Max

Proprietary

Solar Pro 4

Proprietary

License

Qwen3.7 Max

Proprietary

Solar Pro 4

Proprietary

Release date

Qwen3.7 Max

2026-05-16

Solar Pro 4

2026-08-11

If you already use one of these models

Deployment change
The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
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
Qwen3.7 Max has the larger documented window (1M).
Run the same representative tasks against both endpoints before changing production traffic.

Questions

Which is better, Qwen3.7 Max or Solar Pro 4?

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 Solar Pro 4?

Solar Pro 4 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 Solar Pro 4?

Solar Pro 4 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 Solar Pro 4?

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 Solar Pro 4?

Qwen3.7 Max has the larger documented context window: 1M, compared with 512K.

Benchmark evidence

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

Browse raw public benchmark evidence49 rows

Agentic

  • Terminal-Bench 2.0

    Qwen3.7 Max69.7%
    Source
    Solar Pro 4—

    Not directly comparable

  • QwenClawBench

    Qwen3.7 Max64.3%
    Source
    Solar Pro 4—

    Not directly comparable

  • Claw-Eval

    Qwen3.7 Max65.2%
    Source
    Solar Pro 4—

    Not directly comparable

  • BFCL v4

    Qwen3.7 Max75.0%
    Source
    Solar Pro 4—

    Not directly comparable

  • MCP Atlas

    Qwen3.7 Max76.4%
    Source
    Solar Pro 461.4%
    Source

    Qwen3.7 Max leads this result

  • VITA-Bench

    Qwen3.7 Max47.9%
    Source
    Solar Pro 4—

    Not directly comparable

  • HLE w/ tools

    Qwen3.7 Max53.5%
    Source
    Solar Pro 4—

    Not directly comparable

  • Gert Labs

    Qwen3.7 Max64.27%
    Source
    Solar Pro 4—

    Not directly comparable

  • ResearchClawBench

    Qwen3.7 Max18.7%
    Source
    Solar Pro 4—

    Not directly comparable

  • Terminal-Bench 2.1 (Vals)

    Qwen3.7 Max61.0%
    Source
    Solar Pro 4—

    Not directly comparable

  • Terminal-Bench 2.1

    Qwen3.7 Max—
    Solar Pro 457.0%
    Source

    Not directly comparable

  • BrowseComp

    Qwen3.7 Max—
    Solar Pro 449.2%
    Source

    Not directly comparable

  • APEX-Agents

    Qwen3.7 Max—
    Solar Pro 418.7%
    Source

    Not directly comparable

Coding

  • SWE-bench Verified

    Qwen3.7 Max80.4%
    Source
    Solar Pro 470.6%
    Source

    Qwen3.7 Max leads this result

  • SWE-bench Pro

    Qwen3.7 Max60.6%
    Source
    Solar Pro 4—

    Not directly comparable

  • SWE Multilingual

    Qwen3.7 Max78.3%
    Source
    Solar Pro 4—

    Not directly comparable

  • NL2Repo

    Qwen3.7 Max47.2%
    Source
    Solar Pro 4—

    Not directly comparable

  • SciCode

    Qwen3.7 Max53.5%
    Source
    Solar Pro 4—

    Not directly comparable

  • LiveCodeBench v6

    Qwen3.7 Max91.6%
    Source
    Solar Pro 4—

    Not directly comparable

  • Terminal-Bench 2.0

    Qwen3.7 Max69.7%
    Source
    Solar Pro 4—

    Not directly comparable

  • OpenHarmony Bench

    Qwen3.7 Max53.4%
    Source
    Solar Pro 4—

    Not directly comparable

  • LiveCodeBench (Vals)

    Qwen3.7 Max87.1%
    Source
    Solar Pro 4—

    Not directly comparable

  • SWE-bench (Vals)

    Qwen3.7 Max68.8%
    Source
    Solar Pro 4—

    Not directly comparable

  • Terminal-Bench 2.1

    Qwen3.7 Max—
    Solar Pro 457.0%
    Source

    Not directly comparable

  • LiveCodeBench

    Qwen3.7 Max—
    Solar Pro 487.8%
    Source

    Not directly comparable

Reasoning

  • MRCRv2

    Qwen3.7 Max90.4%
    Source
    Solar Pro 4—

    Not directly comparable

  • CritPt

    Qwen3.7 Max13.4%
    Source
    Solar Pro 4—

    Not directly comparable

Knowledge

  • GPQA

    Qwen3.7 Max92.4%
    Source
    Solar Pro 4—

    Not directly comparable

  • GPQA-D

    Qwen3.7 Max92.4%
    Source
    Solar Pro 489.0%
    Source

    Qwen3.7 Max leads this result

  • HLE

    Qwen3.7 Max41.4%
    Source
    Solar Pro 4—

    Not directly comparable

  • MMLU-Pro

    Qwen3.7 Max89.6%
    Source
    Solar Pro 486.3%
    Source

    Qwen3.7 Max leads this result

  • MMLU-Redux

    Qwen3.7 Max95%
    Source
    Solar Pro 4—

    Not directly comparable

  • SuperGPQA

    Qwen3.7 Max73.6%
    Source
    Solar Pro 4—

    Not directly comparable

  • MMMLU

    Qwen3.7 Max90.3%
    Source
    Solar Pro 4—

    Not directly comparable

  • GPQA Diamond (Vals)

    Qwen3.7 Max90.2%
    Source
    Solar Pro 4—

    Not directly comparable

  • MMLU-Pro (Vals)

    Qwen3.7 Max89.3%
    Source
    Solar Pro 4—

    Not directly comparable

Multilingual

  • MMLU-ProX

    Qwen3.7 Max87%
    Source
    Solar Pro 4—

    Not directly comparable

  • NOVA-63

    Qwen3.7 Max59.0%
    Source
    Solar Pro 4—

    Not directly comparable

  • INCLUDE

    Qwen3.7 Max86.2%
    Source
    Solar Pro 4—

    Not directly comparable

  • MAXIFE

    Qwen3.7 Max89.2%
    Source
    Solar Pro 4—

    Not directly comparable

  • PolyMath

    Qwen3.7 Max86.5%
    Source
    Solar Pro 4—

    Not directly comparable

Instruction following

  • IFEval

    Qwen3.7 Max94.3%
    Source
    Solar Pro 4—

    Not directly comparable

  • IFBench

    Qwen3.7 Max79.1%
    Source
    Solar Pro 4—

    Not directly comparable

Math

  • HMMT Feb 2026

    Qwen3.7 Max97.1%
    Source
    Solar Pro 4—

    Not directly comparable

  • IMOAnswerBench

    Qwen3.7 Max90.0%
    Source
    Solar Pro 4—

    Not directly comparable

  • Apex

    Qwen3.7 Max44.5%
    Source
    Solar Pro 4—

    Not directly comparable

  • FrontierMath v2 (Tiers 1-3)

    Qwen3.7 Max64.561%
    Source
    Solar Pro 4—

    Not directly comparable

  • FrontierMath v2 (Tier 4)

    Qwen3.7 Max34.146%
    Source
    Solar Pro 4—

    Not directly comparable

  • AIME26

    Qwen3.7 Max—
    Solar Pro 495.3%
    Source

    Not directly comparable

49 public results · 4 shared

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Last updated October 25, 2026