qwen3-coder-480b-a35b-instruct-maas
vertex_ai-qwen_models · chat model
qwen3-coder-480b-a35b-instruct-maas is listed here as a chat model from vertex_ai-qwen_models. 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
$4.0000 / 1M tokens
Cached input
N/A
Context
32.8K
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 | $4.0000 / 1M tokens |
| Embedding | $1.0000 / 1M tokens |
Token limits
Context window
32.8K
Max input tokens
262.1K
Max output tokens
32.8K
Max tokens
32.8K
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 |
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-480b-a35b-instruct-maas vertex_ai-qwen_models | In $1.0000 / 1M tokens Out $4.0000 / 1M tokens |
Output: unknown | Function callingTool choice | 32.8K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| DeepSeek-R1-0528-Turbo deepinfra | In $1.0000 / 1M tokens Out $3.0000 / 1M tokens | text
Output: text | Function callingTool choice | 32.8K | Partial I/O overlap Overall 57% |
| moonshot-v1-32k moonshot | In $1.0000 / 1M tokens Out $3.0000 / 1M tokens |
Output: unknown | Function callingTool choice | 32.8K | Partial I/O overlap Overall 57% |
| moonshot-v1-32k-0430 moonshot | In $1.0000 / 1M tokens Out $3.0000 / 1M tokens |
Output: unknown | Function callingTool choice | 32.8K | Partial I/O overlap Overall 57% |
| DeepSeek-R1-Turbo deepinfra | In $1.0000 / 1M tokens Out $3.0000 / 1M tokens | text
Output: text | Function callingTool choice | 41.0K | Partial I/O overlap Overall 54% |
| kimi-latest-32k moonshot | In $1.0000 / 1M tokens Out $3.0000 / 1M tokens |
Output: unknown | Function callingTool choice | 32.8K | Partial I/O overlap Overall 49% |
| moonshot-v1-32k-vision-preview moonshot | In $1.0000 / 1M tokens Out $3.0000 / 1M tokens |
Output: unknown | Function callingTool choice | 32.8K | Partial I/O overlap Overall 49% |
| deepseek-v3-0324 azure_ai | In $1.1400 / 1M tokens Out $4.5600 / 1M tokens | text
Output: text | Function callingTool choice | 8.2K | Partial I/O overlap Overall 46% |
| mistral-small azure_ai | In $1.0000 / 1M tokens Out $3.0000 / 1M tokens | text
Output: text | Function callingTool choice | 8.2K | Partial I/O overlap Overall 46% |
| glm-4.5-airx zai | In $1.1000 / 1M tokens Out $4.5000 / 1M tokens |
Output: unknown | Function callingTool choice | N/A | Partial I/O overlap Overall 43% |
| gpt-35-turbo-16k-0613 Azure | In $3.0000 / 1M tokens Out $4.0000 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Partial I/O overlap Overall 41% |
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Output: unknown | Function callingTool choice | 16.4K | Same provider Overall 38% |
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Output: text | Function callingTool choice | 4.1K | Partial I/O overlap Overall 36% |
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Output: text | Function callingTool choice | 4.1K | Partial I/O overlap Overall 36% |
| qwen3-vl-235b-a22b-thinking novita | In $0.9800 / 1M tokens Out $3.9500 / 1M tokens | imagetext
Output: text | Low overlap | 32.8K | Partial I/O overlap Overall 35% |
| Llama-3.3-70B-Instruct azure_ai | In $0.7100 / 1M tokens Out $0.7100 / 1M tokens | text
Output: text | Function callingTool choice | 2.0K | Partial I/O overlap Overall 34% |
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Output: text | Function callingTool choice | 8.2K | Partial I/O overlap Overall 32% |
| qwen3-next-80b-a3b-instruct-maas vertex_ai-qwen_models | In $0.1500 / 1M tokens Out $1.2000 / 1M tokens |
Output: unknown | Function callingTool choice | 262.1K | Same provider Overall 32% |
| qwen3-next-80b-a3b-thinking-maas vertex_ai-qwen_models | In $0.1500 / 1M tokens Out $1.2000 / 1M tokens |
Output: unknown | Function callingTool choice | 262.1K | Same provider Overall 32% |
| kimi-k2.6 moonshot | In $0.9500 / 1M tokens Out $4.0000 / 1M tokens |
Output: unknown | Function callingTool choice | 262.1K | Partial I/O overlap Overall 31% |
| amazon.nova-pro-v1:0 Bedrock | In $0.9600 / 1M tokens Out $3.8400 / 1M tokens | imagepdf
Output: text | Function calling | 10.0K | Partial I/O overlap Overall 28% |
| amazon.nova-pro-v1:0 Bedrock | In $0.9600 / 1M tokens Out $3.8400 / 1M tokens | imagepdf
Output: text | Function calling | 10.0K | Partial I/O overlap Overall 28% |
| gpt-4 Azure | In $30.0000 / 1M tokens Out $60.0000 / 1M tokens | imagetext
Output: text | Function callingTool choice | 4.1K | Partial I/O overlap Overall 28% |
| gpt-4-0613 Azure | In $30.0000 / 1M tokens Out $60.0000 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Partial I/O overlap Overall 28% |
| o4-mini replicate | In $1.0000 / 1M tokens Out $4.0000 / 1M tokens | imagetext
Output: text | Low overlap | N/A | Partial I/O overlap Overall 20% |
No models match this filter.