Calculate the cost of using qwen3-4b-instruct-2507 from Fireworks AI for your AI applications
Pricing data last updated:
Mode: Chat
Max: 262,144 tokens
Max: 262,144 tokens
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qwen3-4b-instruct-2507 is a chat model from Fireworks AI, one of 272 chat models they offer. It is priced at $0.20 per 1M input tokens and $0.20 per 1M output tokens, ranking 679 out of 2292 chat models by cost and cheaper than 69% of models in this category. Its 262K-token context window is in the top 25% 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 262,144 input tokens. The maximum output length is 262,144 tokens.
At $0.20 per 1M input tokens and $0.20 per 1M output tokens, qwen3-4b-instruct-2507 ranks 679 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.
qwen3-4b-instruct-2507 is one of 272 Fireworks AI chat models, its 262K-token context window places it in the top 25% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs qwen3-4b-instruct-2507 |
|---|---|---|---|---|
| ai21.jamba-1-5-mini-v1:0 | AWS Bedrock | $0.20 | $0.40 | 0% |
| anthropic.claude-3-haiku-20240307-v1:0 | AWS Bedrock | $0.25 | $1.25 | +25% |
| Llama-2-13b-chat-hf | Anyscale | $0.25 | $0.25 | +25% |
Similar chat models from other providers
No. qwen3-4b-instruct-2507 costs $0.20 per 1M input tokens while ai21.jamba-1-5-mini-v1:0 costs $0.20 per 1M input tokens, making ai21.jamba-1-5-mini-v1:0 0% more affordable for input. However, qwen3-4b-instruct-2507 may offer different capabilities or performance characteristics that justify the price difference.
qwen3-4b-instruct-2507 input pricing is $0.20 per 1M tokens, which is 64% below the median of $0.55 for chat models. It ranks 679 out of 2292 chat models by input cost, making it cheaper than 69% of models in this category. For output, it costs $0.20 per 1M tokens compared to the median of $1.50.
Among Fireworks AI's 272 chat models, qwen3-4b-instruct-2507 ranks 122 by input cost.
The most comparable chat models to qwen3-4b-instruct-2507 are: ai21.jamba-1-5-mini-v1:0 from AWS Bedrock ($0.20/1M input tokens); anthropic.claude-3-haiku-20240307-v1:0 from AWS Bedrock ($0.25/1M input tokens); Llama-2-13b-chat-hf from Anyscale ($0.25/1M input tokens); apac.anthropic.claude-3-haiku-20240307-v1:0 from AWS Bedrock ($0.25/1M 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.
qwen3-4b-instruct-2507 supports up to 262,144 input tokens, placing it in the top 25% of chat models by context window size (rank 488 of 2159). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
You can monitor Fireworks AI service health in real time on the Bifrost Fireworks AI Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds.
qwen3-4b-instruct-2507 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 $0.20.
