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Qwen: Qwen3 235B A22B Instruct 2507

qwen/qwen3-235b-a22b-2507

Model weights
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Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass. It is optimized for general-purpose text generation, including instruction following, logical reasoning, math, code, and tool usage. The model supports a native 262K context length and does not implement "thinking mode" (<think> blocks).

Compared to its base variant, this version delivers significant gains in knowledge coverage, long-context reasoning, coding benchmarks, and alignment with open-ended tasks. It is particularly strong on multilingual understanding, math reasoning (e.g., AIME, HMMT), and alignment evaluations like Arena-Hard and WritingBench.

Modalities
In / Out Price
75% off
$0.0875 / $0.35per 1M
Context
262K
Released
Jul 21, 2025
Knowledge Cutoff
Jun 2025
Compare
ProvidersPricingPerformanceUptimeBenchmarksAppsActivityFAQExplore

Providers

Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick — Balanced (price + speed), Nitro (fastest), or Floor (cheapest).

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Benchmarks

Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.

Benchmark score summary for Qwen: Qwen3 235B A22B Instruct 2507 (Artificial Analysis and Design Arena)
SourceBenchmarkScore
Artificial AnalysisQwen3 235B A22B 2507 Instruct Intelligence Index12.0
Artificial AnalysisQwen3 235B A22B 2507 Instruct Math Index71.7
Artificial AnalysisQwen3 235B A22B 2507 Instruct GPQA Diamond75.3%
Artificial AnalysisQwen3 235B A22B 2507 Instruct HLE11.1%
Artificial AnalysisQwen3 235B A22B 2507 Instruct IFBench46.1%
Artificial AnalysisQwen3 235B A22B 2507 Instruct τ²-Bench Telecom33.3%
Artificial AnalysisQwen3 235B A22B 2507 Instruct AA-LCR33.9%
Artificial AnalysisQwen3 235B A22B 2507 Instruct CritPt0.0%
Artificial AnalysisQwen3 235B A22B 2507 Instruct LiveCodeBench52.4%
Artificial AnalysisQwen3 235B A22B 2507 Instruct Terminal-Bench Hard15.2%
Artificial AnalysisQwen3 235B A22B 2507 Instruct MMLU-Pro82.8%
Artificial AnalysisQwen3 235B A22B 2507 Instruct AA-Omniscience Accuracy18.7%
Artificial AnalysisQwen3 235B A22B 2507 Instruct AA-Omniscience Non-Hallucination Rate22.8%
Artificial AnalysisQwen3 235B A22B 2507 Instruct AIME 202571.7%
Artificial AnalysisQwen3 235B A22B 2507 Instruct AIME71.7%
Artificial AnalysisQwen3 235B A22B 2507 Instruct MATH-50098.0%
Design ArenaQwen3-235B-A22B-Instruct-2507 Models Arena 3D Elo991
Design ArenaQwen3-235B-A22B-Instruct-2507 Models Arena Code Categories Elo1037
Design ArenaQwen3-235B-A22B-Instruct-2507 Models Arena Data Visualization Elo1070
Design ArenaQwen3-235B-A22B-Instruct-2507 Models Arena Game Development Elo950
Design ArenaQwen3-235B-A22B-Instruct-2507 Models Arena UI Component Elo960
Design ArenaQwen3-235B-A22B-Instruct-2507 Models Arena Website Elo1056

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity

Token volume and request traffic to this model over time.

API

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

Not currently available through EU in-region routing. In-region routing docs

Explore more models

AI Model RankingsRanking
Latency / throughput
75% off
$0.35$0.0875$1.40$0.35$0.07$0.0175----
0.00%
$0.0900$0.55--0.45s19 tps
91.53%
$0.1400$0.80$0.05000.59s33 tps
100.00%
$0.1500$0.75--0.75s18 tps
96.72%
$0.2200$0.88------
0.00%
$0.2500$1.00------
0.00%
Throughput
33tok/s

P50, best across providers

Latency
0.45s

P50, best provider

AutoExacto benchmarks
GPQA DiamondTAU-BenchGoogle Vertex (2)74.6%--Novita73.2%45.0%Nebius74.1%44.1%Venice73.3%43.9%PrimeIntellect75.3%40.7%Google Vertex (1)73.6%40.9%
+6 more providers
Uptime (3d)The model was reachable. Request routed to a provider.
100.00%
Availability (3d)The model returned inference from any provider. Errors and empty responses count against it.
98.80%

Availability over the last 3 days

Last 72 hours
Availability 98.80%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
98.27%
Without Routing
83.56%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.

Frequently asked questions

Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass. It is optimized for general-purpose text generation, including instruction following, logical reasoning, math, code, and tool usage.

Qwen3 235B A22B Instruct 2507 costs $0.0875/M input tokens and $0.35/M output tokens, with separate rates for Cache Read at $0.0175/M tokens.

Qwen3 235B A22B Instruct 2507 has a 262,144 token context window.

Yes. Qwen3 235B A22B Instruct 2507 accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

Qwen3 235B A22B Instruct 2507 is served by 5 providers on OpenRouter: GMICloud, DeepInfra, Parasail, Venice, and Google Vertex. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.

Qwen3 235B A22B Instruct 2507 was released on July 21, 2025. Its knowledge cutoff is June 30, 2025.