Inference
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Alibaba

Qwen3 235B 2507

Qwen3 235B 2507 is a standard model from Alibaba. 10 benchmarks count toward its index, in 6 categories.

  • Open weights
  • Standard
  • Input: text
  • Released 2025-07
RankedEnough results for an index.
IndexAll categories, out of 100.42.3±8.1Median 51.0
CoverageIndex weight that has results.70%
SpeedOutput tokens per second.48/sMedian 67/s
First tokenSeconds to the first output token.0.4 sMedian 1.3 s
Input / 1MUS dollars per 1M input tokens.$0.14Median $0.60
Output / 1MUS dollars per 1M output tokens.$0.80Median $2.55
ContextMaximum tokens in one request.262KMedian 262K
EloLMArena rating and rank.1419±3 #123Median 1422

Details

From OpenRouter
API IDThe model ID on OpenRouter.
qwen/qwen3-235b-a22b-2507
Max outputMaximum output tokens per request.
118K
Knowledge cutoffLast date of training data.
30 Jun 2025
ToolsTool calls on OpenRouter.
Yes
JSON outputOutput follows a given JSON schema.
Yes
Cache read / 1MUS dollars per 1M cached tokens.
$0.05
WeightsLink to the published weights.
Hugging Face (opens in a new tab) ↗
RetiresDate OpenRouter removes the model.
—

Where to run

APIs that serve this model.
7 providers
ProviderTypeMaker, cloud, host or router.InputOutputContext
Deep InfraHost$0.09$0.55262K
NebiusHost$0.20$0.60262K
Together AIDeprecatedHost$0.20$0.60262K
OpenRouterRouter$0.14$0.80262K
CrusoeDeprecatedHost$0.22$0.80262K
Amazon BedrockCloud$0.22$0.88262K
ScalewayCloud$0.841$2.52260K

US dollars per 1M tokens, list price. From models.dev (opens in a new tab) (MIT).

Run locally

235.09B parameters
16-bit
494.7 GB
8-bit
263.3 GB
4-bit
150.6 GB
Weights
Hugging Face (opens in a new tab) ↗

Memory need with a short context. The 4-bit copy needs more than 128 GB. Compare local models

Capabilities

Index per category, out of 100.
Out of 100
AgenticMulti-step tasks with tools.None counted——
CodingCode writing and repair.1 counted26.9—
ReasoningLogic problems and puzzles.2 counted35.9186 / 227
MultimodalTasks with images and text.None counted——
KnowledgeFacts and expert knowledge.4 counted51.2125 / 268
MultilingualTasks in many languages.1 counted48.8—
InstructionTasks with strict prompt rules.1 counted41.8—
MathMath problems.1 counted37.2—

Results

10 counted
BenchmarkThe benchmark name.ResultThe score from the source.PlacePlace among results on this benchmark.
Measuring Short-Form Factuality in Large Language ModelsKnowledge54.3%2 / 14
Massive Multitask Language Understanding ProfessionalKnowledge83.0%31 / 75
Instruction-Following EvalInstruction88.7%29 / 70
Graduate-Level Google-Proof Q&AKnowledge77.5%74 / 141
American Invitational Mathematics Examination 2025Math70.3%36 / 53
MMLU-ProXMultilingual79.4%13 / 17
ARC-AGI-2 (semi-private)Reasoning1.3%103 / 131
SuperGPQA: Scaling LLM Evaluation Across 285 Graduate DisciplinesKnowledge62.6%19 / 22
LiveCodeBench v6Coding51.8%52 / 59
ARC-AGI-1 (semi-private)Reasoning11.0%114 / 126
ARC-AGI-2 (public eval)Reasoning0.8%95 / 122
ARC-AGI-1 (public eval)Reasoning17.0%105 / 116

Sources

BenchLMCC BY-NC 4.0OpenRouterTerms restrict reuseARC Prize FoundationTerms restrict reusemodels.devMIT

History

5 releases
Index43.3 → 42.3
23 Oct 202612 Nov 2026
Output / 1M$0.55 → $0.80
23 Oct 202612 Nov 2026

Questions

How much does Qwen3 235B 2507 cost?
$0.14 per 1M input tokens, $0.80 per 1M output tokens.
How good is Qwen3 235B 2507?
Its index is 42.3 out of 100. That is place 196 of 283 ranked models.
What is Qwen3 235B 2507 best at?
Knowledge: 51.2 out of 100, place 125 of 268.
How fast is Qwen3 235B 2507?
48 output tokens per second, 0.4 s to the first token.
What is the context window of Qwen3 235B 2507?
262K tokens.
Is Qwen3 235B 2507 open source?
Yes. Its weights are published.
When was Qwen3 235B 2507 released?
July 2025.

Badge

Qwen3 235B 2507 on Inference360: place 196 of 283, index 42.3
HTML
<a href="https://inference360.ai/models/qwen3-235b-2507"><img src="https://inference360.ai/badges/qwen3-235b-2507.svg" alt="Qwen3 235B 2507 on Inference360: place 196 of 283, index 42.3" height="20"></a>
Markdown
[![Qwen3 235B 2507 on Inference360: place 196 of 283, index 42.3](https://inference360.ai/badges/qwen3-235b-2507.svg)](https://inference360.ai/models/qwen3-235b-2507)

Compare with

GPT-5 nano41.9Qwen3 235B-A22B38.1Qwen3 235B 2507 (Reasoning)47.4dots3-note Preview63.4

Lower price

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