qwen.qwen3-235b-a22b-2507-v1:0
bedrock_converse · chat model
qwen.qwen3-235b-a22b-2507-v1:0 is listed here as a chat model from bedrock_converse. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$0.2200 / 1M tokens
Output
$0.8800 / 1M tokens
Cached input
N/A
Context
131.1K
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 | $0.2200 / 1M tokens |
| Output | $0.8800 / 1M tokens |
| Embedding | $0.2200 / 1M tokens |
Token limits
Context window
131.1K
Max input tokens
262.1K
Max output tokens
131.1K
Max tokens
131.1K
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 |
|---|---|---|---|---|---|
| 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 | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| 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 94% |
| glm-4p5-air fireworks_ai | In $0.2200 / 1M tokens Out $0.8800 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 96.0K | Text covered Overall 90% |
| grok-3-mini azure_ai | In $0.2500 / 1M tokens Out $1.2700 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 131.1K | Text covered Overall 89% |
| grok-3-mini azure_ai | In $0.2500 / 1M tokens Out $1.2700 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 131.1K | Text covered Overall 89% |
| deepseek-chat-v3.1 OpenRouter | In $0.2000 / 1M tokens Out $0.8000 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 163.8K | Text covered Overall 89% |
| DeepSeek-V3-0324 deepinfra | In $0.2500 / 1M tokens Out $0.8800 / 1M tokens | text
Output: text | Function callingTool choice | 163.8K | Text covered Overall 88% |
| 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 | Same provider Overall 87% |
| 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 85% |
| deepseek.v3.2 bedrock_converse | In $0.6200 / 1M tokens Out $1.8500 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 163.8K | Same provider Overall 85% |
| qwen3-235b-a22b-thinking-2507 OpenRouter | In $0.1100 / 1M tokens Out $0.6000 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 262.1K | Text covered Overall 85% |
| 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 84% |
| 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 84% |
| 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 84% |
| 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 84% |
| 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 84% |
| deepseek.v3-v1:0 bedrock_converse | In $0.5800 / 1M tokens Out $1.6800 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 81.9K | Same provider Overall 84% |
| 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 77% |
| nvidia.nemotron-super-3-120b bedrock_converse | In $0.1500 / 1M tokens Out $0.6500 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 32.8K | Same provider Overall 77% |
| qwen3-235b-a22b fireworks_ai | In $0.2200 / 1M tokens Out $0.8800 / 1M tokens | text
Output: text | Low overlap | 131.1K | Text covered Overall 75% |
| minimax.minimax-m2.1 bedrock_converse | In $0.3000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Function callingTool choice | 8.2K | Same provider Overall 68% |
| minimax.minimax-m2.5 bedrock_converse | In $0.3000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Function callingTool choice | 8.2K | Same provider Overall 68% |
| qwen3-235b-a22b-instruct-2507 fireworks_ai | In $0.2200 / 1M tokens Out $0.8800 / 1M tokens | text
Output: text | Low overlap | 262.1K | Text covered Overall 68% |
| qwen3-235b-a22b-thinking-2507 fireworks_ai | In $0.2200 / 1M tokens Out $0.8800 / 1M tokens | text
Output: text | Low overlap | 262.1K | Text covered Overall 68% |
| llama4-maverick-instruct-basic fireworks_ai | In $0.2200 / 1M tokens Out $0.8800 / 1M tokens | text image
Output: text | Low overlap | 131.1K | Text covered Overall 63% |
| qwen3-vl-235b-a22b-instruct fireworks_ai | In $0.2200 / 1M tokens Out $0.8800 / 1M tokens | text image
Output: text | Low overlap | 262.1K | Text covered Overall 55% |
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