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Qwen3-Coder-480B-A35B-Instruct

deepinfra · chat model

Qwen3-Coder-480B-A35B-Instruct is listed here as a chat model from deepinfra. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Input
$0.4000 / 1M tokens
Output
$1.6000 / 1M tokens
Cached input
N/A
Context
262.1K
Compare similar models Open a side-by-side table using this route and the closest match from the current catalog. Estimate workload cost Use token counts, request volume, and cache assumptions to check a realistic monthly bill. Explore benchmark family Review source-backed benchmark rows for the attached base model family. Check data sources See how pricing data is generated and what still needs provider verification.

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
$0.4000 / 1M tokens
Output
$1.6000 / 1M tokens
Embedding
$0.4000 / 1M tokens

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

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-480B-A35B-Instruct
deepinfra
In $0.4000 / 1M tokens
Out $1.6000 / 1M tokens
text
Output: text
Function callingTool choice
262.1K
Current model
Reference row

Overall blends cost, modality overlap, capabilities, and context.

Model Cost Input shape Features Context Why it is close
Kimi-K2-Instruct-0905
deepinfra
In $0.5000 / 1M tokens
Out $2.0000 / 1M tokens
text
Output: text
Function callingTool choice
262.1K
Same provider
Overall 96%
Qwen3-Coder-480B-A35B-Instruct-Turbo
deepinfra
In $0.2900 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function callingTool choice
262.1K
Same provider
Overall 95%
Qwen3-235B-A22B-Thinking-2507
deepinfra
In $0.3000 / 1M tokens
Out $2.9000 / 1M tokens
text
Output: text
Function callingTool choice
262.1K
Same provider
Overall 93%
Qwen3-Next-80B-A3B-Instruct
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In $0.1400 / 1M tokens
Out $1.4000 / 1M tokens
text
Output: text
Function callingTool choice
262.1K
Same provider
Overall 93%
Qwen3-Next-80B-A3B-Thinking
deepinfra
In $0.1400 / 1M tokens
Out $1.4000 / 1M tokens
text
Output: text
Function callingTool choice
262.1K
Same provider
Overall 93%
GLM-4.5
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In $0.4000 / 1M tokens
Out $1.6000 / 1M tokens
text
Output: text
Function callingTool choice
131.1K
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Overall 93%
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 89%
gpt-3.5-turbo
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In $0.5000 / 1M tokens
Out $1.5000 / 1M tokens
text
Output: text
Function callingTool choice
4.1K
Text covered
Overall 83%
gpt-35-turbo
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In $0.5000 / 1M tokens
Out $1.5000 / 1M tokens
text
Output: text
Function callingTool choice
4.1K
Text covered
Overall 83%
gpt-3.5-turbo
vercel_ai_gateway
In $0.5000 / 1M tokens
Out $1.5000 / 1M tokens
text
Output: text
Function callingTool choice
4.1K
Text covered
Overall 83%
Llama-3.3-70B-Instruct
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In $0.7100 / 1M tokens
Out $0.7100 / 1M tokens
text
Output: text
Function callingTool choice
2.0K
Text covered
Overall 75%
Phi-4
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In $0.1250 / 1M tokens
Out $0.5000 / 1M tokens
text
Output: text
Function callingTool choice
16.4K
Text covered
Overall 72%
mistral-medium-2505
azure_ai
In $0.4000 / 1M tokens
Out $2.0000 / 1M tokens
text image
Output: text
Function callingTool choice
8.2K
Text covered
Overall 71%
gpt-35-turbo-16k-0613
Azure
In $3.0000 / 1M tokens
Out $4.0000 / 1M tokens
text
Output: text
Function callingTool choice
4.1K
Text covered
Overall 71%
gpt-4-0613
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In $30.0000 / 1M tokens
Out $60.0000 / 1M tokens
text
Output: text
Function callingTool choice
4.1K
Text covered
Overall 66%
gpt-4.1-mini
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In $0.4000 / 1M tokens
Out $1.6000 / 1M tokens
text image
Output: text
Function callingTool choice
32.8K
Text covered
Overall 57%
gpt-4.1-mini-2025-04-14
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In $0.4000 / 1M tokens
Out $1.6000 / 1M tokens
text image
Output: text
Function callingTool choice
32.8K
Text covered
Overall 57%
GPT-4.1 mini
OpenAI
In $0.4000 / 1M tokens
Out $1.6000 / 1M tokens
text imagepdf
Output: text
Function callingTool choice
32.8K
Text covered
Overall 55%
gpt-4.1-mini-2025-04-14
OpenAI
In $0.4000 / 1M tokens
Out $1.6000 / 1M tokens
text imagepdf
Output: text
Function callingTool choice
32.8K
Text covered
Overall 55%
qwen3-vl-235b-a22b-instruct
dashscope
In $0.4000 / 1M tokens
Out $1.6000 / 1M tokens
text
Output: unknown
Function callingTool choice
32.8K
Partial I/O overlap
Overall 39%
Missing text