Calculate the cost of using Qwen3-235B-A22B-Instruct-2507-tput from Together AI for your AI applications
Pricing data last updated:
Mode: Chat
Max: 262,000 tokens
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Qwen3-235B-A22B-Instruct-2507-tput is a chat model from Together AI, one of 38 chat models they offer. It is priced at $0.20 per 1M input tokens and $0.60 per 1M output tokens, ranking 592 out of 2292 chat models by cost and cheaper than 69% of models in this category. Qwen3-235B-A22B-Instruct-2507-tput supports function calling, structured output. Its 262K-token context window is in the top 26% among chat models.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 262,000 input tokens.
At $0.20 per 1M input tokens and $0.60 per 1M output tokens, Qwen3-235B-A22B-Instruct-2507-tput ranks 592 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 69% of models in this category.
Qwen3-235B-A22B-Instruct-2507-tput is one of 38 Together AI chat models, with support for function calling, structured output. its 262K-token context window places it in the top 26% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs Qwen3-235B-A22B-Instruct-2507-tput |
|---|---|---|---|---|
| anthropic.claude-3-haiku-20240307-v1:0 | AWS Bedrock | $0.25 | $1.25 | +25% |
| apac.anthropic.claude-3-haiku-20240307-v1:0 | AWS Bedrock | $0.25 | $1.25 | +25% |
| gpt-5.4-nano | Azure | $0.20 | $1.25 | 0% |
Similar chat models from other providers
Yes. Qwen3-235B-A22B-Instruct-2507-tput costs $0.20 per 1M input tokens compared to anthropic.claude-3-haiku-20240307-v1:0's $0.25 per 1M input tokens, making it 25% more affordable. Both are chat models and share support for vision, function calling, structured output.
Qwen3-235B-A22B-Instruct-2507-tput input pricing is $0.20 per 1M tokens, which is 64% below the median of $0.55 for chat models. It ranks 592 out of 2292 chat models by input cost, making it cheaper than 69% of models in this category. For output, it costs $0.60 per 1M tokens compared to the median of $1.50.
Among Together AI's 38 chat models, Qwen3-235B-A22B-Instruct-2507-tput ranks 10 by input cost.
The most comparable chat models to Qwen3-235B-A22B-Instruct-2507-tput are: anthropic.claude-3-haiku-20240307-v1:0 from AWS Bedrock ($0.25/1M input tokens); apac.anthropic.claude-3-haiku-20240307-v1:0 from AWS Bedrock ($0.25/1M input tokens); gpt-5.4-nano from Azure ($0.20/1M input tokens); gpt-5.4-nano-2026-03-17 from Azure ($0.20/1M 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.
Qwen3-235B-A22B-Instruct-2507-tput supports up to 262,000 input tokens, placing it in the top 26% of chat models by context window size (rank 553 of 2159). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
You can monitor Together AI service health in real time on the Bifrost Together AI Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds.
Qwen3-235B-A22B-Instruct-2507-tput 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 $0.20 and generating 1M output tokens costs $0.60.
