--- title: "Qwen3-235B-A22B-Instruct-2507-tput - Model Details & Comparison" description: "Qwen3-235B-A22B-Instruct-2507-tput from Together AI: capabilities, context limits, pricing, and side-by-side comparisons with alternative models." url: "https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/together_ai/qwen3-235b-a22b-instruct-2507-tput" markdown: "https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/together_ai/qwen3-235b-a22b-instruct-2507-tput.md" --- # Qwen3-235B-A22B-Instruct-2507-tput - Model Details & Comparison > Qwen3-235B-A22B-Instruct-2507-tput from Together AI: capabilities, context limits, pricing, and side-by-side comparisons with alternative models. ## Important Links - [View MCP Gateway](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/resources/mcp-gateway.md) - [Features](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/#features) - [Enterprise](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/enterprise) - [Pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/pricing.md) - [Docs](https://docs.getbifrost.ai) - [GitHub](https://github.com/maximhq/bifrost) - [Book a Demo](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/book-a-demo) ## About Qwen3-235B-A22B-Instruct-2507-tput 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 689 out of 2669 chat models by cost and cheaper than 70% 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 28% among chat models. ## Specifications - **Together AI Provider.** - **Chat Mode.** - **262,000 Max Input Tokens.** - **$0.20 / 1M tokens Input Price.** - **$0.60 / 1M tokens Output Price.** ## Capabilities Qwen3-235B-A22B-Instruct-2507-tput supports: Function Calling, Parallel Function Calling, Response Schema, Tool Choice. ## Qwen3-235B-A22B-Instruct-2507-tput Pricing Overview At $0.20 per 1M input tokens and $0.60 per 1M output tokens, Qwen3-235B-A22B-Instruct-2507-tput ranks 689 out of 2669 chat models by input cost. It is more affordable compared to the median of $0.50 for chat models, and is cheaper than 70% 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 28% of chat models. ## Models to Compare Alternatives to Qwen3-235B-A22B-Instruct-2507-tput with comparable capabilities. | Model | Provider | Input $/1M | Output $/1M | | --- | --- | --- | --- | | anthropic.claude-3-haiku-20240307-v1:0 | AWS Bedrock | $0.25 | $1.25 | | apac.anthropic.claude-3-haiku-20240307-v1:0 | AWS Bedrock | $0.25 | $1.25 | | gpt-5.4-nano | Azure | $0.20 | $1.25 | | gpt-5.4-nano-2026-03-17 | Azure | $0.20 | $1.25 | | gpt-4o-mini-2024-07-18 | Azure | $0.17 | $0.66 | - [Compare anthropic.claude-3-haiku-20240307-v1:0](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/bedrock/anthropic.claude-3-haiku-20240307-v1-0.md) - [Compare apac.anthropic.claude-3-haiku-20240307-v1:0](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/bedrock/apac.anthropic.claude-3-haiku-20240307-v1-0.md) - [Compare gpt-5.4-nano](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/azure/gpt-5.4-nano.md) - [Compare gpt-5.4-nano-2026-03-17](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/azure/gpt-5.4-nano-2026-03-17.md) - [Compare gpt-4o-mini-2024-07-18](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/azure/gpt-4o-mini-2024-07-18.md) ## Related Resources - [Calculate Qwen3-235B-A22B-Instruct-2507-tput costs](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/together_ai/model/qwen3-235b-a22b-instruct-2507-tput.md) - [Check Together AI status](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/provider-status/together-ai.md) - [All Together AI pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/together_ai.md) ## FAQ ### Is Qwen3-235B-A22B-Instruct-2507-tput cheaper than anthropic.claude-3-haiku-20240307-v1:0? 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. ### How does Qwen3-235B-A22B-Instruct-2507-tput pricing compare to the average chat model? Qwen3-235B-A22B-Instruct-2507-tput input pricing is $0.20 per 1M tokens, which is 60% below the median of $0.50 for chat models. It ranks 689 out of 2669 chat models by input cost, making it cheaper than 70% of models in this category. For output, it costs $0.60 per 1M tokens compared to the median of $1.44. ### What makes Qwen3-235B-A22B-Instruct-2507-tput different from other Together AI models? Among Together AI's 38 chat models, Qwen3-235B-A22B-Instruct-2507-tput ranks 10 by input cost. ### What are the best alternatives to Qwen3-235B-A22B-Instruct-2507-tput? 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. ### How large is Qwen3-235B-A22B-Instruct-2507-tput's context window? Qwen3-235B-A22B-Instruct-2507-tput supports up to 262,000 input tokens, placing it in the top 28% of chat models by context window size (rank 746 of 2653). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories. ### How do I check if Together AI is down? 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. ### How do I calculate Qwen3-235B-A22B-Instruct-2507-tput costs? 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. ## Related Resources - [Together AI models](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/provider/together_ai.md) - [Model library](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library.md) - [LLM cost calculator](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator.md) - [Docs: Bifrost docs](https://docs.getbifrost.ai) - [GitHub: maximhq/bifrost](https://github.com/maximhq/bifrost) - [Pricing: Bifrost pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/pricing.md) - [Enterprise: Bifrost enterprise](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/enterprise) - [Book a Demo: Bifrost demo](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/book-a-demo) - [Resources: Bifrost resources](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/resources.md) --- *This is a markdown version of [https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/together_ai/qwen3-235b-a22b-instruct-2507-tput](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/together_ai/qwen3-235b-a22b-instruct-2507-tput) for AI/LLM consumption.*