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Model profile

Qwen3 235B 2507

AlibabaEstablishedReleased Jul 1, 2025
Data verified
Overall Score
56.02Public #78 of 200
Arena Elo
1380
Eligible category ranks
2of 8
Price (1M tokens)
$0 in / $0 out
API pricing
Speed
Not listed
Context
128K

Evidence coverage

4 of 321 tracked benchmarks are published. 4 are verified and 0 provisional. 2 of 8 categories are measured.

Updated July 20, 2026Methodology
Published / tracked
4 / 321
Verified
4
Provisional
0
Categories with evidence
2 / 8

Evidence by category

  • Agentic0 benchmarks
    Not measured
  • Coding0 benchmarks
    Not measured
  • Reasoning0 benchmarks
    Not measured
  • Knowledge3 benchmarks
    Verified
  • Math0 benchmarks
    Not measured
  • Multilingual1 benchmark
    Verified
  • Multimodal0 benchmarks
    Not measured
  • Inst. Following0 benchmarks
    Not measured
Open WeightSelf-hostNon-Reasoning
Confidence:
Low
base

Qwen3 235B 2507 ranks #78 out of 200 models on the public leaderboard with an overall score of 56.02/100. It does not yet have enough sourced coverage for BenchLM's verified leaderboard. While not a frontier model, it offers specific advantages depending on the use case.

Qwen3 235B 2507 is a open weight model with a 128K token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.

Qwen3 235B 2507 sits inside the Qwen3 235B 2507 family alongside Qwen3 235B 2507 (Reasoning). This profile currently has 4 of 321 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.

Its strongest category is Multilingual (#12), while its weakest is Knowledge (#25). This performance profile makes it a well-rounded choice across a range of tasks.

Peer position

Exact provisional scores and ranks for the closest listed peers. A score can appear before a model clears the evidence threshold for a rank, so equal scores can have different rank states.

Range 55.456.59

  1. Grok 4 Fast (Reasoning)
    xAI
    #7656.59
    Grok 4 Fast (Reasoning) is #76 with a score of 56.59.
    Compare
  2. Claude Haiku 4.5
    Anthropic
    #7756.58
    Claude Haiku 4.5 is #77 with a score of 56.58.
    Compare
  3. Qwen3 235B 2507Current model
    Alibaba
    #7856.02
    Qwen3 235B 2507 is #78 with a score of 56.02.
  4. Trinity-Large-Preview
    Arcee AI
    #7955.94
    Trinity-Large-Preview is #79 with a score of 55.94.
    Compare
  5. Hy3
    Tencent
    #8055.64
    Hy3 is #80 with a score of 55.64.
    Compare
  6. DeepSeek V4 Pro (High)
    DeepSeek
    #8155.47
    DeepSeek V4 Pro (High) is #81 with a score of 55.47.
    Compare
  7. DeepSeek V3.2
    DeepSeek
    #8255.4
    DeepSeek V3.2 is #82 with a score of 55.4.
    Compare

Category percentile

More

Relative position among models eligible for each sourced category. A higher percentile means a stronger position within that category's ranked cohort; 100 is highest.

  1. Multilingual8%
    Eligible cohort rank #12 of 13Category score 1.0
  2. Knowledge53%
    Eligible cohort rank #25 of 52Category score 72.1

Category evidence

Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.

Category scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticWeight 22%0 benchmarksNot measuredNot measured
CodingWeight 20%0 benchmarksNot measuredNot measured
ReasoningWeight 17%0 benchmarksNot measuredNot measured
KnowledgeRank #25 of 52Percentile 53rdWeight 12%3 benchmarksVerified72.1
MathWeight 5%0 benchmarksNot measuredNot measured
MultilingualRank #12 of 13Percentile 8thWeight 7%1 benchmarkVerified1.0
MultimodalWeight 12%0 benchmarksNot measuredNot measured
Inst. FollowingWeight 5%0 benchmarksNot measuredNot measured

Chatbot Arena performance

Scroll horizontally to inspect confidence intervals and vote counts.

Chatbot Arena Elo, confidence interval, and vote count by evaluation view
ViewEloConfidence intervalVotes
Text Overall1380Not availableNot available

Benchmark Details

Rows below have a displayable published verification record. Each source link and provenance note remains in the page HTML while its category is closed. Source-unverified manual rows and generated rows stay hidden.

Knowledge3 benchmarks
MMLU-ProProvider exact

Massive Multitask Language Understanding Professional

83%Weighted 30%
Source: Qwen3-235B-A22B-Instruct-2507 model cardProvenance: Provider exact
GPQAProvider exact

Graduate-Level Google-Proof Q&A

77.5%Weighted 7%
Source: Qwen3-235B-A22B-Instruct-2507 model cardProvenance: Provider exact
SuperGPQAProvider exact

SuperGPQA: Scaling LLM Evaluation Across 285 Graduate Disciplines

62.6%Weighted 7%
Source: Qwen3-235B-A22B-Instruct-2507 model cardProvenance: Provider exact
Multilingual1 benchmark
MMLU-ProXProvider exact
79.4%Weighted 100%
Source: Qwen3-235B-A22B-Instruct-2507 model cardProvenance: Provider exact

Qwen3 235B 2507 Family

Base entry

Frequently Asked Questions

How does Qwen3 235B 2507 perform overall in AI benchmarks?

Qwen3 235B 2507 has 4 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.

Is Qwen3 235B 2507 good for knowledge and understanding?

Qwen3 235B 2507 ranks #25 out of 52 models in knowledge and understanding benchmarks with an average score of 72.1. There are stronger options in this category.

Is Qwen3 235B 2507 good for multilingual tasks?

Qwen3 235B 2507 ranks #12 out of 13 models in multilingual tasks benchmarks with an average score of 1. There are stronger options in this category.

Is Qwen3 235B 2507 open source?

Yes, Qwen3 235B 2507 is an open weight model created by Alibaba, meaning it can be downloaded and run locally or fine-tuned for specific use cases.

Which sibling models are related to Qwen3 235B 2507?

Qwen3 235B 2507 belongs to the Qwen3 235B 2507 family. Related variants on BenchLM include Qwen3 235B 2507 (Reasoning).

Does Qwen3 235B 2507 have full benchmark coverage on BenchLM?

Not yet. Qwen3 235B 2507 currently has 4 published benchmark scores out of the 321 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.

What is the context window size of Qwen3 235B 2507?

Qwen3 235B 2507 has a published context window of 128K, which determines how much text it can process in a single interaction.

Last updated: July 20, 2026 · Runtime metrics stay blank until BenchLM has a sourced snapshot.

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