qwen.qwen3-coder-480b-a35b-v1:0
bedrock_converse · chat model
qwen.qwen3-coder-480b-a35b-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
$1.8000 / 1M tokens
Cached input
N/A
Context
65.5K
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 | $1.8000 / 1M tokens |
| Embedding | $0.2200 / 1M tokens |
Token limits
Context window
65.5K
Max input tokens
262.0K
Max output tokens
65.5K
Max tokens
65.5K
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 | — |
Benchmarks
Most benchmark rows are attached to the base model family rather than this provider route. Open benchmark explorer
| Benchmark | Score | Metric | Scope | Checked | Source |
|---|---|---|---|---|---|
| Terminal-Bench 2.0 | 23.9 * | score | Base model: Qwen3-Coder (Qwen3-Coder-480B-A35B-Instruct) | 2026-05-31 | Link |
| SWE-bench Pro | 38.7 | score | Base model: Qwen3-Coder (Qwen3-Coder-480B-A35B-Instruct) | 2026-05-31 | Link |
| Evasion Bench | 78.16 | score | Base model: Qwen3-Coder (Qwen3-Coder-480B-A35B-Instruct) | 2026-05-31 | Link |
| Artificial Analysis Intelligence Index | 24.8 | score | Base model: qwen3-coder (qwen/qwen3-coder) | 2026-05-31 | Link |
| Artificial Analysis Coding Index | 24.6 | score | Base model: qwen3-coder (qwen/qwen3-coder) | 2026-05-31 | Link |
| Artificial Analysis Agentic Index | 18.3 | score | Base model: qwen3-coder (qwen/qwen3-coder) | 2026-05-31 | Link |
Sources
| Source links | |
| Pricing data | LiteLLM model cost map |
| Synced at | 2026-05-28 |
Docs
| Official docs |
Similar models
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Comparing from
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| 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 | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| 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 91% |
| minimax-m2.1 OpenRouter | In $0.2700 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 64.0K | Text covered Overall 88% |
| glm-4.7 OpenRouter | In $0.4000 / 1M tokens Out $1.5000 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 64.0K | Text covered Overall 88% |
| minimax-m2.5 OpenRouter | In $0.3000 / 1M tokens Out $1.1000 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 65.5K | Text covered Overall 87% |
| 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 | Same provider Overall 87% |
| qwen3-coder vercel_ai_gateway | In $0.4000 / 1M tokens Out $1.6000 / 1M tokens | text
Output: text | Function callingTool choice | 66.5K | Text covered Overall 86% |
| 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 | 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 | 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% |
| 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 83% |
| 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 83% |
| 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 83% |
| 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 83% |
| 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 83% |
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Output: text | Function callingTool choiceReasoning | 131.0K | Text covered Overall 82% |
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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% |
| moonshot-v1-8k moonshot | In $0.2000 / 1M tokens Out $2.0000 / 1M tokens | text
Output: unknown | Function callingTool choice | 8.2K | Partial I/O overlap Overall 37% Missing text |
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Output: unknown | Function callingTool choice | 8.2K | Partial I/O overlap Overall 37% Missing text |
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Output: unknown | Function callingTool choice | 8.2K | Partial I/O overlap Overall 32% Missing text |
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No models match this filter.