Capability
57/100
field median 59.1
#97 of 230 ranked models
Qwen3 235B 2507
EstablishedReleased Jul 1, 2025Open WeightNon-Reasoning128K context
Released Jul 1, 2025 — see all recent releases
Decision reading
Qwen3 235B 2507 scores 57 out of 100 and ranks #97 of 230. This profile shows 4 source-displayable benchmark rows; its strongest eligible category is Multilingual at #12. Published weights can be self-hosted, but infrastructure cost varies and is not a comparable API token rate.
Data as of September 2, 2026 · How the score is built
Strongest published evidence
Multilingual ranks #12. A well-rounded choice across a range of tasks.
Validate before choosing
4 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.
Decision snapshot
Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.
Price
Self-hosted; infrastructure cost varies
input median $1
No comparable first-party hosted token rate
Speed
Not measured
field median 90 tok/s
Time to first token not measured
Context
128Ktokens
field median 256,000
Reported for this model; direct source link not stored
Capability shape
Each axis shows percentile within that category’s eligible cohort. The comparison outline is the median of the six nearest public-score peers; a collapsed vertex means the category is not rank-eligible.
Qwen3 235B 2507 category percentile values
- AgenticNot eligible
- CodingNot eligible
- ReasoningNot eligible
- Knowledge63rd percentile
- MathNot eligible
- Multilingual0th percentile
- MultimodalNot eligible
- Instruction followingNot eligible
The dashed outline is median of 6 nearest peers.
Eligible category ranks
- AgenticNot ranked
- CodingNot ranked
- ReasoningNot ranked
- Knowledge#22/57
- MathNot ranked
- Multilingual#12/12
- MultimodalNot ranked
- Inst. FollowingNot ranked
Top decileTop quartileMid-fieldNot eligible
How much of this is verified
Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.
- AgenticNot measured
- CodingNot measured
- ReasoningNot measured
- Knowledge3/3 verified
- MathNot measured
- Multilingual1/1 verified
- MultimodalNot measured
- Inst. FollowingNot measured
Verified sourceProvisionalNot measured
Spec sheet
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
- API model ID
- Not published
- Context window
- 128K
- Maximum output
- Not sourced yet
- Knowledge cutoff
- Not sourced yet
- Input modalities
- Not sourced yet
- Output modalities
- Not sourced yet
- Parameters
- Not sourced yet
- Availability
- Not sourced yet
- Cloud regions
- Not tracked yet
- Lifecycle
- Established
- API capabilities
- Tool calling, structured outputs, and batch support are not tracked yet
- Prompt caching
- Not documented in the pricing record
- Self-host
- Open weights available; hardware estimate not sourced
- Rate limits
- Not tracked yet
Deployment options
Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.
Published weights are available, but BenchLM does not yet have a sourced parameter and VRAM profile for this exact model. Hardware cost estimates stay unavailable until that sizing record is complete.
Estimate VRAM from known parametersCategory score record
Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticWeight 22%0 benchmarksNot measured | Not measured | Not ranked | Not available | 22% | 0 benchmarks | Not measured |
| CodingWeight 20%0 benchmarksNot measured | Not measured | Not ranked | Not available | 20% | 0 benchmarks | Not measured |
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | Not ranked | Not available | 17% | 0 benchmarks | Not measured |
| KnowledgeRank #22 of 57Percentile 63rdWeight 12%3 benchmarksVerified | 74.5 | #22 of 57 | 63rd | 12% | 3 benchmarks | Verified |
| MathWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
| MultilingualRank #12 of 12Percentile 0thWeight 7%1 benchmarkVerified | 1.0 | #12 of 12 | 0th | 7% | 1 benchmark | Verified |
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
Benchmark ledger
Knowledge opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.
Knowledge3 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| MMLU-ProMassive Multitask Language Understanding Professional | Score83% | Versus best verified row Best verified: Qwen3.7 Max · 89.6% | Gap6.6 behind | WeightWeighted 30% | Provider exact |
| GPQAGraduate-Level Google-Proof Q&A | Score77.5% | Versus best verified row Best verified: Sakana Fugu-Ultra · 95.5% | Gap18 behind | WeightWeighted 7% | Provider exact |
| SuperGPQASuperGPQA: Scaling LLM Evaluation Across 285 Graduate Disciplines | Score62.6% | Versus best verified row Best verified: Qwen 3.6 Max (preview) · 73.9% | Gap11.3 behind | WeightWeighted 7% | Provider exact |
Multilingual1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| MMLU-ProX | Score79.4% | Versus best verified row Best verified: Qwen3.7 Max · 87% | Gap7.6 behind | WeightWeighted 100% | Provider exact |
Lineage
The sequence follows explicit supersedes links. A successor's displayed score stays at least 0.1 points above its predecessor; raw benchmark rows do not move. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Jul 1, 2025 · you are here
Qwen3 235B 2507Score 57.0 · Price not listed
Base entry
How to read this profile
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
Qwen3 235B 2507 ranks #97 of 230 on the public leaderboard with a score of 56.98/100. It does not yet have enough sourced coverage for a verified position.
Qwen3 235B 2507 is a open weight model with a 128K context window. No explicit reasoning mode is documented in this profile.
Qwen3 235B 2507 sits in the Qwen3 235B 2507 family with Qwen3 235B 2507 (Reasoning). 4 of 416 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Multilingual at #12, while its lowest eligible position is Knowledge at #22. a well-rounded choice across a range of tasks.
Frequently asked questions
How does Qwen3 235B 2507 perform overall in AI benchmarks?
Qwen3 235B 2507 ranks #97 out of 230 models on the public BenchAlign leaderboard, with a score of 56.98/100. Its evidence status is Estimated, and this profile shows 4 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.
Is Qwen3 235B 2507 good for knowledge and understanding?
Qwen3 235B 2507 ranks #22 out of 57 eligible models for knowledge and understanding, with a public category score of 74.5/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Is Qwen3 235B 2507 good for multilingual tasks?
Qwen3 235B 2507 ranks #12 out of 12 eligible models for multilingual tasks, with a public category score of 1/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Is Qwen3 235B 2507 open source?
Qwen3 235B 2507 is an open-weight model from Alibaba. Its weights can be downloaded for local or hosted deployment, subject to the published license. Open weight does not automatically mean open source: training data and training code may remain private, and commercial restrictions can still apply.
Which sibling models are related to Qwen3 235B 2507?
Qwen3 235B 2507 belongs to the Qwen3 235B 2507 family. Related tracked variants include Qwen3 235B 2507 (Reasoning). A sibling link indicates shared lineage or a documented configuration relationship; it does not mean the variants have identical pricing, context limits, benchmark evidence, or deployment behavior. Compare before switching.
Does Qwen3 235B 2507 have full benchmark coverage on BenchLM?
No. Qwen3 235B 2507 currently has 4 source-displayable rows across 416 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.
What is the context window size of Qwen3 235B 2507?
Qwen3 235B 2507 has a reported context window of 128K in the exact-model catalog record. The value stays visible, but the profile marks its source link as unavailable instead of presenting it as directly documented. Maximum output length remains separate because providers often publish a different limit.
Compare Qwen3 235B 2507 with every tracked model409 comparisons
Last updated September 2, 2026. Runtime fields remain blank until a sourced snapshot exists.
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