Try Bifrost Enterprise free for 14 days.
Request access

qwen3.5-122b-a10b Cost Calculator - OpenRouter

Calculate the cost of using qwen3.5-122b-a10b from OpenRouter for your AI applications

Pricing data last updated:

qwen3.5-122b-a10b Cost Calculator

Mode: Chat

Max: 262,144 tokens

Max: 262,144 tokens

Cost Breakdown

Input Cost$0.00026000
Output Cost$0.002080
Total Cost$0.002340

Pricing Details

Input: $0.0000002600 per token
Output: $0.00000208 per token
[ WE'RE OPEN SOURCE ]

Scale with the Fastest LLM Gateway

Built for enterprise-grade reliability, governance, and scale. Deploy in seconds.

Model Specifications

Capabilities

Function Calling
Vision
Reasoning

Limits

Max Input Tokens262,144
Max Output Tokens262,144
Max Tokens262,144

About qwen3.5-122b-a10b

qwen3.5-122b-a10b is a chat model from OpenRouter, one of 351 chat models they offer. It is priced at $0.26 per 1M input tokens and $2.08 per 1M output tokens, ranking 808 out of 2292 chat models by cost and cheaper than 65% of models in this category. qwen3.5-122b-a10b supports vision, function calling, reasoning, structured output. Its 262K-token context window is in the top 25% among chat models.

Pricing Information

Input Cost$0.26 per 1M tokens
Output Cost$2.08 per 1M tokens

Note: Use the interactive calculator above to estimate costs for your specific usage patterns.

Technical Specifications

Maximum Input Tokens262,144
Maximum Output Tokens262,144
Maximum Total Tokens262,144

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 262,144 input tokens. The maximum output length is 262,144 tokens.

Model Capabilities

Function Calling - Execute custom functions and tools
Vision - Process and understand images
Advanced Reasoning - Complex problem-solving capabilities
Response Schema - Structured output formatting

How qwen3.5-122b-a10b Pricing Compares

At $0.26 per 1M input tokens and $2.08 per 1M output tokens, qwen3.5-122b-a10b ranks 808 out of 2292 chat models by input cost. It is more affordable compared to the median of $0.55 for chat models, and is cheaper than 65% of models in this category.

qwen3.5-122b-a10b is one of 351 OpenRouter chat models, with support for vision, function calling, reasoning, structured output. its 262K-token context window places it in the top 25% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs qwen3.5-122b-a10b
amazon.nova-2-lite-v1:0AWS Bedrock$0.30$2.50+15%
gpt-5-mini-2025-08-07Azure$0.28$2.20+6%
gpt-5-miniAzure$0.25$2.00-4%

Alternatives to qwen3.5-122b-a10b

Similar chat models from other providers

AWS Bedrock
amazon.nova-2-lite-v1:0
$0.30/1M input
+15% vs qwen3.5-122b-a10b
Azure
gpt-5-mini-2025-08-07
$0.28/1M input
+6% vs qwen3.5-122b-a10b
Azure
gpt-5-mini
$0.25/1M input
-4% vs qwen3.5-122b-a10b
Vertex AI
gemini-2.5-flash
$0.30/1M input
+15% vs qwen3.5-122b-a10b
Vertex AI
gemini-2.5-flash-preview-09-2025
$0.30/1M input
+15% vs qwen3.5-122b-a10b

Frequently Asked Questions

Is qwen3.5-122b-a10b cheaper than amazon.nova-2-lite-v1:0?

Yes. qwen3.5-122b-a10b costs $0.26 per 1M input tokens compared to amazon.nova-2-lite-v1:0's $0.30 per 1M input tokens, making it 15% more affordable. Both are chat models and share support for vision, function calling, reasoning, prompt caching, structured output.

How does qwen3.5-122b-a10b pricing compare to the average chat model?

qwen3.5-122b-a10b input pricing is $0.26 per 1M tokens, which is 53% below the median of $0.55 for chat models. It ranks 808 out of 2292 chat models by input cost, making it cheaper than 65% of models in this category. For output, it costs $2.08 per 1M tokens compared to the median of $1.50.

What makes qwen3.5-122b-a10b different from other OpenRouter models?

Among OpenRouter's 351 chat models, qwen3.5-122b-a10b ranks 140 by input cost.

What are the best alternatives to qwen3.5-122b-a10b?

The most comparable chat models to qwen3.5-122b-a10b are: amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.30/1M input tokens); gpt-5-mini-2025-08-07 from Azure ($0.28/1M input tokens); gpt-5-mini from Azure ($0.25/1M input tokens); gemini-2.5-flash from Vertex AI ($0.30/1M input tokens). These alternatives were selected based on similar capabilities, pricing, and provider diversity. You can compare any of these models in detail using the Bifrost Model Library.

How large is qwen3.5-122b-a10b's context window?

qwen3.5-122b-a10b supports up to 262,144 input tokens, placing it in the top 25% of chat models by context window size (rank 463 of 2159). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

How do I check if OpenRouter is down?

You can monitor OpenRouter service health in real time on the Bifrost OpenRouter Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds.

How do I calculate qwen3.5-122b-a10b costs?

qwen3.5-122b-a10b is priced based on input and output tokens. Use the interactive calculator at the top of this page to estimate costs for your specific workload. Enter your expected input and output tokens volume and the calculator will show the total cost breakdown. For reference, processing 1M input tokens costs $0.26 and generating 1M output tokens costs $2.08.