qwen3-235b-a22b-thinking-2507
OpenRouter · chat model
qwen3-235b-a22b-thinking-2507 is listed here as a chat model from OpenRouter. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$0.1100 / 1M tokens
Output
$0.6000 / 1M tokens
Cached input
N/A
Context
262.1K
Quick read
Best for
Use this page when you need a fast view of cost, context size, and supported features before testing the model in your own workload.
Things to verify
Always check the provider page for discounts, cache pricing, region rules, and any model limits that may not appear in public metadata.
Pricing
| Item | Price |
|---|---|
| Input | $0.1100 / 1M tokens |
| Output | $0.6000 / 1M tokens |
| Embedding | $0.1100 / 1M tokens |
Token limits
Context window
262.1K
Max input tokens
262.1K
Max output tokens
262.1K
Max tokens
262.1K
Capabilities
| Capability | Supported |
|---|---|
| Vision | — |
| Function calling | ✅ |
| Parallel function calling | — |
| Tool choice | ✅ |
| Prompt caching | — |
| Reasoning | ✅ |
| Response schema | — |
| System messages | — |
| Audio input | — |
| Audio output | — |
| Web search | — |
| PDF input | — |
| Video input | — |
Sources
| Source links | |
| Pricing data | LiteLLM model cost map |
| Synced at | 2026-05-28 |
Docs
| Official docs |
Similar models
This list is ranked by overall similarity. Use filters to emphasize the lens that matters most for the replacement you are making.
Comparing from
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| qwen3-235b-a22b-thinking-2507 OpenRouter | In $0.1100 / 1M tokens Out $0.6000 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 262.1K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| Qwen3-235B-A22B-Instruct-2507 deepinfra | In $0.0900 / 1M tokens Out $0.6000 / 1M tokens | text
Output: text | Function callingTool choice | 262.1K | Text covered Overall 90% |
| DeepSeek-V3.1 deepinfra | In $0.2700 / 1M tokens Out $1.0000 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 163.8K | Text covered Overall 85% |
| qwen.qwen3-235b-a22b-2507-v1:0 bedrock_converse | In $0.2200 / 1M tokens Out $0.8800 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 131.1K | Text covered Overall 85% |
| gpt-oss-120b fireworks_ai | In $0.1500 / 1M tokens Out $0.6000 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 131.1K | Text covered Overall 84% |
| Qwen3-Next-80B-A3B-Instruct deepinfra | In $0.1400 / 1M tokens Out $1.4000 / 1M tokens | text
Output: text | Function callingTool choice | 262.1K | Text covered Overall 83% |
| Qwen3-Next-80B-A3B-Thinking deepinfra | In $0.1400 / 1M tokens Out $1.4000 / 1M tokens | text
Output: text | Function callingTool choice | 262.1K | Text covered Overall 83% |
| qwen3-coder OpenRouter | In $0.2200 / 1M tokens Out $0.9500 / 1M tokens | text
Output: text | Function callingTool choice | 262.1K | Same provider Overall 83% |
| Phi-4-reasoning azure_ai | In $0.1250 / 1M tokens Out $0.5000 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 4.1K | Text covered Overall 82% |
| deepseek-chat-v3.1 OpenRouter | In $0.2000 / 1M tokens Out $0.8000 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 163.8K | Same provider Overall 81% |
| minimax-m2 OpenRouter | In $0.2550 / 1M tokens Out $1.0200 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 204.8K | Same provider Overall 81% |
| deepseek.v3.2 Bedrock | In $0.6200 / 1M tokens Out $1.8500 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 163.8K | Text covered Overall 80% |
| qwen3-235b-a22b-2507 OpenRouter | In $0.0710 / 1M tokens Out $0.1000 / 1M tokens | text
Output: text | Function callingTool choice | 262.1K | Same provider Overall 79% |
| deepseek-v3.2 OpenRouter | In $0.2800 / 1M tokens Out $0.4000 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 163.8K | Same provider Overall 79% |
| deepseek.v3.2 Bedrock | In $0.7400 / 1M tokens Out $2.2200 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 163.8K | Text covered Overall 79% |
| deepseek.v3.2 Bedrock | In $0.7400 / 1M tokens Out $2.2200 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 163.8K | Text covered Overall 79% |
| deepseek.v3.2 Bedrock | In $0.7400 / 1M tokens Out $2.2200 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 163.8K | Text covered Overall 79% |
| deepseek.v3.2 Bedrock | In $0.7400 / 1M tokens Out $2.2200 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 163.8K | Text covered Overall 79% |
| deepseek.v3.2 Bedrock | In $0.7400 / 1M tokens Out $2.2200 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 163.8K | Text covered Overall 79% |
| qwen.qwen3-coder-480b-a35b-v1:0 bedrock_converse | In $0.2200 / 1M tokens Out $1.8000 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 65.5K | Text covered Overall 77% |
| glm-5 OpenRouter | In $0.8000 / 1M tokens Out $2.5600 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 128.0K | Same provider Overall 76% |
| deepseek.v3-v1:0 bedrock_converse | In $0.5800 / 1M tokens Out $1.6800 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 81.9K | Text covered Overall 75% |
| gpt-oss-120b azure_ai | In $0.1500 / 1M tokens Out $0.6000 / 1M tokens | text
Output: text | Function callingTool choice | 131.1K | Text covered Overall 75% |
| qwen3-235b-a22b-instruct-2507 novita | In $0.0900 / 1M tokens Out $0.5800 / 1M tokens | text
Output: text | Function callingTool choice | 16.4K | Text covered Overall 67% |
| Phi-3-small-128k-instruct azure_ai | In $0.1500 / 1M tokens Out $0.6000 / 1M tokens | text
Output: text | Tool choice | 4.1K | Text covered Overall 66% |
| Phi-3-small-8k-instruct azure_ai | In $0.1500 / 1M tokens Out $0.6000 / 1M tokens | text
Output: text | Tool choice | 4.1K | Text covered Overall 66% |
| gpt-4o-mini Azure | In $0.1500 / 1M tokens Out $0.6000 / 1M tokens | text image
Output: text | Function callingTool choice | 16.4K | Text covered Overall 55% |
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