qwen3-coder:480b-cloud
ollama · chat model
qwen3-coder:480b-cloud is listed here as a chat model from ollama. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
N/A
Output
N/A
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 |
|---|
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 | — |
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-cloud ollama | In N/A Out N/A |
Output: unknown | Function calling | 262.1K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| Qwen3-235B-A22B nebius | In $0.2000 / 1M tokens Out $0.6000 / 1M tokens |
Output: unknown | Function calling | 262.1K | Partial I/O overlap Overall 40% |
| deepseek-v3.1:671b-cloud ollama | In N/A Out N/A |
Output: unknown | Function calling | 163.8K | Same provider Overall 34% |
| gpt-oss:120b-cloud ollama | In N/A Out N/A |
Output: unknown | Function calling | 131.1K | Same provider Overall 33% |
| gpt-oss:20b-cloud ollama | In N/A Out N/A |
Output: unknown | Function calling | 131.1K | Same provider Overall 33% |
| Llama-3.3-Nemotron-Super-49B-v1 nebius | In $0.1000 / 1M tokens Out $0.4000 / 1M tokens |
Output: unknown | Function calling | 131.1K | Partial I/O overlap Overall 33% |
| xai.grok-3-mini oci | In $0.3000 / 1M tokens Out $0.5000 / 1M tokens |
Output: unknown | Function calling | 131.1K | Partial I/O overlap Overall 33% |
| mixtral-8x22B-Instruct-v0.1 ollama | In N/A Out N/A |
Output: unknown | Function calling | 65.5K | Same provider Overall 29% |
| Mixtral-8x22B-Instruct-v0.1 anyscale | In $0.9000 / 1M tokens Out $0.9000 / 1M tokens |
Output: unknown | Function calling | 65.5K | Partial I/O overlap Overall 29% |
| mistral-7B-Instruct-v0.2 ollama | In N/A Out N/A |
Output: unknown | Function calling | 32.8K | Same provider Overall 27% |
| mixtral-8x7B-Instruct-v0.1 ollama | In N/A Out N/A |
Output: unknown | Function calling | 32.8K | Same provider Overall 27% |
| mistral-large-2402 Azure | In $8.0000 / 1M tokens Out $24.0000 / 1M tokens |
Output: unknown | Function calling | 32.0K | Partial I/O overlap Overall 27% |
| mistral-large-latest Azure | In $8.0000 / 1M tokens Out $24.0000 / 1M tokens |
Output: unknown | Function calling | 32.0K | Partial I/O overlap Overall 27% |
| Mistral-7B-Instruct-v0.1 anyscale | In $0.1500 / 1M tokens Out $0.1500 / 1M tokens |
Output: unknown | Function calling | 16.4K | Partial I/O overlap Overall 26% |
| Mixtral-8x7B-Instruct-v0.1 anyscale | In $0.1500 / 1M tokens Out $0.1500 / 1M tokens |
Output: unknown | Function calling | 16.4K | Partial I/O overlap Overall 26% |
| command-r-plus Azure | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | text
Output: text | Function calling | 4.1K | Partial I/O overlap Overall 25% |
| Llama-3.2-3B-Instruct deepinfra | In $0.0200 / 1M tokens Out $0.0200 / 1M tokens | text
Output: text | Function calling | 131.1K | Partial I/O overlap Overall 20% |
| llama3.2-3b-instruct lambda_ai | In $0.0150 / 1M tokens Out $0.0250 / 1M tokens |
Output: unknown | Function calling | 131.1K | Partial I/O overlap Overall 14% |
| llama3.2-11b-vision-instruct lambda_ai | In $0.0150 / 1M tokens Out $0.0250 / 1M tokens |
Output: unknown | Function calling | 131.1K | Partial I/O overlap Overall 13% |
| paddleocr-vl novita | In $0.0200 / 1M tokens Out $0.0200 / 1M tokens | imagetext
Output: text | Low overlap | 16.4K | Partial I/O overlap Overall 1% |
| titan-embed-text-v2 vercel_ai_gateway | In $0.0200 / 1M tokens Out N/A | text
Output: embedding | Low overlap | 0 | Partial I/O overlap Overall 0% |
| Qwen2.5-Coder-3B-Instruct nscale | In $0.0100 / 1M tokens Out $0.0300 / 1M tokens |
Output: unknown | Low overlap | N/A | Partial I/O overlap Overall 0% |
No models match this filter.