Qwen3 VL 235B A22B Instruct: Benchmarks, Pricing & Context Window
Qwen3 VL 235B A22B Instruct is a language model from Qwen, released in September 2025, with multimodal input, a 262K-token context window, and pricing from $0.200/M input, $0.110/M cached input, $0.880/M output.
Qwen3-VL is a large multimodal model that unifies vision, language, and reasoning to achieve human-level perception and cognition across text, images, and video. Built on a 235B-parameter architecture, it integrates early joint training of
Qwen3 VL 235B A22B Instruct benchmarks
Capability tiers
Standing within each category, adjusted for leaderboard depth.
Real tasks performance
High-confidence performance for Qwen3 VL 235B A22B Instruct across real-world prompt categories. Only 95% intervals at most 4 points wide are shown.
Performance by conversation depth
How Qwen3 VL 235B A22B Instruct holds up as conversations get longer.
Quality Tracker
Qwen3 VL 235B A22B Instruct Performance Across Datasets
Scores sourced from the model's scorecard, paper, or official blog posts
llm-stats.com - Thu Oct 08 2026Qwen3 VL 235B A22B Instruct pricing
Providers
Qwen3 VL 235B A22B Instruct starts at $0.200 per million input tokens and $0.880 per million output tokens via DeepInfra. Reused prompt prefixes cost $0.110 per million cached input tokens. See all 2 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 | $0.200 | $0.110 | $0.880 | 262.1K/262.1K | — | — | / |
 Novita | $0.300 | — | $1.50 | 131.1K/32.8K | — | — | / |
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 VL 235B A22B Instruct model size
Qwen3 VL 235B A22B Instruct has 236 billion parameters. See how it compares to other models in the same parameter range.
Qwen3 VL 235B A22B Instruct context window
Input and output token limits for Qwen3 VL 235B A22B Instruct, plus how it ranks on long-context understanding.
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Qwen3 VL 235B A22B Instruct latency
Qwen3 VL 235B A22B Instruct time to first token, sustained output throughput, and failed-request rate from live model usage over the trailing 7 days.
Qwen3 VL 235B A22B Instruct examples
Recent arena outputs from Qwen3 VL 235B A22B Instruct, picked from the highest-ranked matchups.
Qwen3 VL 235B A22B Instruct license
Qwen3 VL 235B A22B Instruct is released under the Apache 2.0 license, which permits commercial use, has 236.0B parameters.
- License
- Apache 2.0
- Commercial use allowed
- Parameters
- 236.0B
Apache License 2.0 - allows commercial use
Qwen3 VL 235B A22B Instruct resources
Official sources for Qwen3 VL 235B A22B Instruct: provider documentation, official playground, official launch post, source repository, model weights.
Qwen3 VL 235B A22B Instruct vs other models
The most-compared alternatives to Qwen3 VL 235B A22B Instruct are MiMo-V2.5-Pro, EXAONE 4.5 33B, GPT-4o. Open any pair side-by-side for benchmarks, pricing, context, and latency.
Models like Qwen3 VL 235B A22B Instruct
Models ranked just above and below Qwen3 VL 235B A22B Instruct by LLM Stats score.
FAQ
Common questions about Qwen3 VL 235B A22B Instruct.