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Qwen3-Coder-480B-A35B-Instruct-FP8

Together AI · chat model

Qwen3-Coder-480B-A35B-Instruct-FP8 is listed here as a chat model from Together AI. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Input
$2.0000 / 1M tokens
Output
$2.0000 / 1M tokens
Cached input
N/A
Context
N/A
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
$2.0000 / 1M tokens
Output
$2.0000 / 1M tokens
Embedding
$2.0000 / 1M tokens

Token limits

Max input tokens
256.0K

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-FP8
Together AI
In $2.0000 / 1M tokens
Out $2.0000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceResponse schema
N/A
Current model
Reference row

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

Model Cost Input shape Features Context Why it is close
DeepSeek-R1-0528-tput
Together AI
In $0.5500 / 1M tokens
Out $2.1900 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceResponse schema
N/A
Same provider
Overall 78%
DeepSeek-V3
Together AI
In $1.2500 / 1M tokens
Out $1.2500 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceResponse schema
8.2K
Same provider
Overall 78%
Kimi-K2-Instruct
Together AI
In $1.0000 / 1M tokens
Out $3.0000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceResponse schema
N/A
Same provider
Overall 77%
Meta-Llama-3.1-405B-Instruct-Turbo
Together AI
In $3.5000 / 1M tokens
Out $3.5000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceResponse schema
N/A
Same provider
Overall 76%
Qwen3-235B-A22B-Thinking-2507
Together AI
In $0.6500 / 1M tokens
Out $3.0000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceResponse schema
N/A
Same provider
Overall 75%
gpt-35-turbo-1106
Azure
In $1.0000 / 1M tokens
Out $2.0000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choice
4.1K
Text covered
Overall 74%
DeepSeek-R1
Together AI
In $3.0000 / 1M tokens
Out $7.0000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceResponse schema
20.5K
Same provider
Overall 74%
Qwen3-235B-A22B-Instruct-2507-tput
Together AI
In $0.2000 / 1M tokens
Out $6.0000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceResponse schema
N/A
Same provider
Overall 70%
gpt-oss-120b
azure_ai
In $0.1500 / 1M tokens
Out $0.6000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choiceResponse schema
131.1K
Text covered
Overall 69%
Qwen2.5-72B-Instruct-Turbo
Together AI
In N/A
Out N/A
text
Output: text
Function callingParallel function callingTool choiceResponse schema
N/A
Same provider
Overall 65%
Qwen2.5-7B-Instruct-Turbo
Together AI
In N/A
Out N/A
text
Output: text
Function callingParallel function callingTool choiceResponse schema
N/A
Same provider
Overall 65%
meta.llama3-2-90b-instruct-v1:0
Bedrock
In $2.0000 / 1M tokens
Out $2.0000 / 1M tokens
text image
Output: text
Function calling
4.1K
Text covered
Overall 53%
us.meta.llama3-2-90b-instruct-v1:0
Bedrock
In $2.0000 / 1M tokens
Out $2.0000 / 1M tokens
text image
Output: text
Function calling
4.1K
Text covered
Overall 53%
Qwen3-235B-A22B
hyperbolic
In $2.0000 / 1M tokens
Out $2.0000 / 1M tokens
text
Output: unknown
Function callingParallel function callingTool choice
131.1K
Partial I/O overlap
Overall 35%
Missing text
Kimi-K2-Instruct
hyperbolic
In $2.0000 / 1M tokens
Out $2.0000 / 1M tokens
text
Output: unknown
Function callingParallel function callingTool choice
131.1K
Partial I/O overlap
Overall 35%
Missing text
meta.llama-3.2-90b-vision-instruct
oci
In $2.0000 / 1M tokens
Out $2.0000 / 1M tokens
text
Output: unknown
Function calling
4.0K
Partial I/O overlap
Overall 25%
Missing text
meta.llama-3.2-11b-vision-instruct
oci
In $2.0000 / 1M tokens
Out $2.0000 / 1M tokens
text
Output: unknown
Function calling
4.0K
Partial I/O overlap
Overall 25%
Missing text