Qwen3-235B-A22B-Instruct-2507: Benchmarks, Pricing & Context Window
Qwen3-235B-A22B-Instruct-2507 is a language model from Qwen, released in July 2025, with a 262K-token context window, and pricing from $0.090/M input and $0.550/M output.
Qwen3-235B-A22B-Instruct-2507 is the updated instruct version of Qwen3-235B-A22B featuring significant improvements in general capabilities including instruction following, logical reasoning, text comprehension, mathematics, science,
Qwen3-235B-A22B-Instruct-2507 benchmarks
Capability tiers
Standing within each category, adjusted for leaderboard depth.
Real tasks performance
High-confidence performance for Qwen3-235B-A22B-Instruct-2507 across real-world prompt categories. Only 95% intervals at most 4 points wide are shown.
Performance by conversation depth
How Qwen3-235B-A22B-Instruct-2507 holds up as conversations get longer.
Quality Tracker
Qwen3-235B-A22B-Instruct-2507 Performance Across Datasets
Scores sourced from the model's scorecard, paper, or official blog posts
llm-stats.com - Mon Sep 14 2026Qwen3-235B-A22B-Instruct-2507 pricing
Providers
Qwen3-235B-A22B-Instruct-2507 starts at $0.0900 per million input tokens and $0.550 per million output tokens via DeepInfra. See all 3 providers below with their per-token pricing, latency, throughput, and modality support.
| Provider | Input $/M | Cached input $/M | Output $/M | Context in / out | TTFT p95 s | Output p5 c/s | Modalities in / out |
|---|---|---|---|---|---|---|---|
 DeepInfra | $0.0900 | — | $0.550 | 262.1K/262.1K | — | — | / |
 Fireworks | $0.150 | — | $0.800 | 262.1K/131.1K | — | — | / |
 Novita | $0.150 | — | $0.800 | 131.1K/16.4K | — | — | / |
Cached input is the discounted price for prompt tokens served from a provider cache. TTFT is time to first token. Output is characters per second; p5 is the sustained floor exceeded by 95% of observed requests.
Qwen3-235B-A22B-Instruct-2507 model size
Qwen3-235B-A22B-Instruct-2507 has 235 billion parameters. See how it compares to other models in the same parameter range.
Qwen3-235B-A22B-Instruct-2507 context window
Input and output token limits for Qwen3-235B-A22B-Instruct-2507, plus how it ranks on long-context understanding.
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Qwen3-235B-A22B-Instruct-2507.
Qwen3-235B-A22B-Instruct-2507 latency
Qwen3-235B-A22B-Instruct-2507 time to first token, sustained output throughput, and failed-request rate from live model usage over the trailing 7 days.
Qwen3-235B-A22B-Instruct-2507 examples
Recent arena outputs from Qwen3-235B-A22B-Instruct-2507, picked from the highest-ranked matchups.
Qwen3-235B-A22B-Instruct-2507 license
Qwen3-235B-A22B-Instruct-2507 is released under the Apache 2.0 license, which permits commercial use, has 235.0B parameters.
- License
- Apache 2.0
- Commercial use allowed
- Parameters
- 235.0B
Apache License 2.0 - allows commercial use
Qwen3-235B-A22B-Instruct-2507 resources
Official sources for Qwen3-235B-A22B-Instruct-2507: provider documentation, official playground, paper or system card, source repository, model weights.
Qwen3-235B-A22B-Instruct-2507 vs other models
The most-compared alternatives to Qwen3-235B-A22B-Instruct-2507 are Qwen3 14B, Llama 3.1 405B Instruct, EXAONE 4.5 33B. Open any pair side-by-side for benchmarks, pricing, context, and latency.
Models like Qwen3-235B-A22B-Instruct-2507
Models ranked just above and below Qwen3-235B-A22B-Instruct-2507 by LLM Stats score.
FAQ
Common questions about Qwen3-235B-A22B-Instruct-2507.