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qwen3.5-122b-a10b

OpenRouter · chat model

qwen3.5-122b-a10b 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
$0.4000 / 1M tokens
Output
$2.0000 / 1M tokens
Cached input
N/A
Context
65.5K
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 benchmarks Review benchmark rows by family and benchmark label without cross-benchmark ranking. 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
$2.0000 / 1M tokens
Embedding
$0.4000 / 1M tokens

Token limits

Context window
65.5K
Max input tokens
262.1K
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 —

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
qwen3.5-122b-a10b
OpenRouter
In $0.4000 / 1M tokens
Out $2.0000 / 1M tokens
imagetextvideo
Output: text
VisionFunction callingTool choiceReasoning
65.5K
Current model
Reference row

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

Model Cost Input shape Features Context Why it is close
qwen3.5-plus-02-15
OpenRouter
In $0.4000 / 1M tokens
Out $2.4000 / 1M tokens
imagetextvideo
Output: text
VisionFunction callingTool choiceReasoning
65.5K
Same provider
Overall 98%
qwen3.6-plus
OpenRouter
In $0.3250 / 1M tokens
Out $1.9500 / 1M tokens
imagetextvideo
Output: text
VisionFunction callingTool choiceReasoning
65.5K
Same provider
Overall 98%
qwen3.5-35b-a3b
OpenRouter
In $0.2500 / 1M tokens
Out $2.0000 / 1M tokens
imagetextvideo
Output: text
VisionFunction callingTool choiceReasoning
65.5K
Same provider
Overall 97%
qwen3.5-27b
OpenRouter
In $0.3000 / 1M tokens
Out $2.4000 / 1M tokens
imagetextvideo
Output: text
VisionFunction callingTool choiceReasoning
65.5K
Same provider
Overall 96%
qwen3.5-397b-a17b
OpenRouter
In $0.6000 / 1M tokens
Out $3.6000 / 1M tokens
imagetextvideo
Output: text
VisionFunction callingTool choiceReasoning
65.5K
Same provider
Overall 92%
qwen3.5-flash-02-23
OpenRouter
In $0.1000 / 1M tokens
Out $0.4000 / 1M tokens
imagetextvideo
Output: text
VisionFunction callingTool choiceReasoning
65.5K
Same provider
Overall 84%
Kimi-K2.5
Together AI
In $0.5000 / 1M tokens
Out $2.8000 / 1M tokens
imagetextvideo
Output: text
VisionFunction callingTool choiceReasoning
256.0K
Text + image covered
Overall 76%
mistral-medium-2505
azure_ai
In $0.4000 / 1M tokens
Out $2.0000 / 1M tokens
imagetextvideo
Output: text
Function callingTool choice
8.2K
Text + image covered
Overall 66%
mistral.devstral-2-123b
bedrock_converse
In $0.4000 / 1M tokens
Out $2.0000 / 1M tokens
imagetextvideo
Output: text
Function callingTool choice
8.2K
Text + image covered
Overall 64%
devstral-medium-2507
Mistral
In $0.4000 / 1M tokens
Out $2.0000 / 1M tokens
imagetextvideo
Output: text
Function callingTool choice
128.0K
Partial I/O overlap
Overall 62%
Missing image
devstral-latest
Mistral
In $0.4000 / 1M tokens
Out $2.0000 / 1M tokens
imagetextvideo
Output: text
Function callingTool choice
256.0K
Partial I/O overlap
Overall 58%
Missing image
devstral-medium-latest
Mistral
In $0.4000 / 1M tokens
Out $2.0000 / 1M tokens
imagetextvideo
Output: text
Function callingTool choice
256.0K
Partial I/O overlap
Overall 58%
Missing image
GLM-4.7-FP8
gmi
In $0.4000 / 1M tokens
Out $2.0000 / 1M tokens
imagetextvideo
Output: unknown
Low overlap
16.4K
Partial I/O overlap
Overall 24%
Missing text, image