qwen3-coder-plus
OpenRouter · chat model
qwen3-coder-plus 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
$1.0000 / 1M tokens
Output
$5.0000 / 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 | $1.0000 / 1M tokens |
| Output | $5.0000 / 1M tokens |
| Embedding | $1.0000 / 1M tokens |
Token limits
Context window
65.5K
Max input tokens
998.0K
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
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-coder-plus OpenRouter | In $1.0000 / 1M tokens Out $5.0000 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 65.5K | Current model Reference row |
| 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 | Text covered Overall 86% |
| 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 86% |
| glm-5 OpenRouter | In $0.8000 / 1M tokens Out $2.5600 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 128.0K | Same provider Overall 86% |
| magistral-medium-2506 Mistral | In $2.0000 / 1M tokens Out $5.0000 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 40.0K | Text covered Overall 83% |
| magistral-medium-2509 Mistral | In $2.0000 / 1M tokens Out $5.0000 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 40.0K | Text covered Overall 83% |
| magistral-medium-latest Mistral | In $2.0000 / 1M tokens Out $5.0000 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 40.0K | 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% |
| 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% |
| glm-4.7 OpenRouter | In $0.4000 / 1M tokens Out $1.5000 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 64.0K | Same provider Overall 80% |
| o3-mini OpenRouter | In $1.1000 / 1M tokens Out $4.4000 / 1M tokens | text file
Output: text | Function callingTool choiceReasoning | 65.5K | Same provider Overall 80% |
| o3-mini-high OpenRouter | In $1.1000 / 1M tokens Out $4.4000 / 1M tokens | text file
Output: text | Function callingTool choiceReasoning | 65.5K | Same provider Overall 80% |
| minimax-m2.5 OpenRouter | In $0.3000 / 1M tokens Out $1.1000 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 65.5K | Same provider Overall 79% |
| minimax-m2.1 OpenRouter | In $0.2700 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 64.0K | Same provider Overall 78% |
| anthropic.claude-haiku-4-5-20251001-v1:0 bedrock_converse | In $1.0000 / 1M tokens Out $5.0000 / 1M tokens | text imagepdf
Output: text | Function callingTool choiceReasoning | 64.0K | Text covered Overall 72% |
| anthropic.claude-haiku-4-5@20251001 bedrock_converse | In $1.0000 / 1M tokens Out $5.0000 / 1M tokens | text imagepdf
Output: text | Function callingTool choiceReasoning | 64.0K | Text covered Overall 72% |
| claude-haiku-4-5 azure_ai | In $1.0000 / 1M tokens Out $5.0000 / 1M tokens | text imagepdf
Output: text | Function callingTool choiceReasoning | 64.0K | Text covered Overall 72% |
| claude-haiku-4-5-20251001 Anthropic | In $1.0000 / 1M tokens Out $5.0000 / 1M tokens | text imagepdf
Output: text | Function callingTool choiceReasoning | 64.0K | Text covered Overall 72% |
| claude-haiku-4-5 Anthropic | In $1.0000 / 1M tokens Out $5.0000 / 1M tokens | text imagepdf
Output: text | Function callingTool choiceReasoning | 64.0K | Text covered Overall 72% |
| global.anthropic.claude-haiku-4-5-20251001-v1:0 bedrock_converse | In $1.0000 / 1M tokens Out $5.0000 / 1M tokens | text imagepdf
Output: text | Function callingTool choiceReasoning | 64.0K | Text covered Overall 72% |
| 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 68% |
No models match this filter.