Calculate the cost of using Qwen3-VL-235B-A22B-Instruct-FP8 from Gmi for your AI applications
Pricing data last updated:
Mode: Chat
Max: 262,144 tokens
Max: 16,384 tokens
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Qwen3-VL-235B-A22B-Instruct-FP8 is a chat model from Gmi, one of 17 chat models they offer. It is priced at $0.30 per 1M input tokens and $1.40 per 1M output tokens, ranking 872 out of 2292 chat models by cost and cheaper than 60% of models in this category. Qwen3-VL-235B-A22B-Instruct-FP8 supports vision. 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 16,384 tokens.
At $0.30 per 1M input tokens and $1.40 per 1M output tokens, Qwen3-VL-235B-A22B-Instruct-FP8 ranks 872 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 60% of models in this category.
Qwen3-VL-235B-A22B-Instruct-FP8 is one of 17 Gmi chat models, with support for vision. its 262K-token context window places it in the top 25% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs Qwen3-VL-235B-A22B-Instruct-FP8 |
|---|---|---|---|---|
| amazon.nova-2-lite-v1:0 | AWS Bedrock | $0.30 | $2.50 | 0% |
| apac.amazon.nova-2-lite-v1:0 | AWS Bedrock | $0.33 | $2.75 | +10% |
| eu.amazon.nova-2-lite-v1:0 | AWS Bedrock | $0.33 | $2.75 | +10% |
Similar chat models from other providers
No. Qwen3-VL-235B-A22B-Instruct-FP8 costs $0.30 per 1M input tokens while amazon.nova-2-lite-v1:0 costs $0.30 per 1M input tokens, making amazon.nova-2-lite-v1:0 0% more affordable for input. However, Qwen3-VL-235B-A22B-Instruct-FP8 may offer different capabilities or performance characteristics that justify the price difference.
Qwen3-VL-235B-A22B-Instruct-FP8 input pricing is $0.30 per 1M tokens, which is 45% below the median of $0.55 for chat models. It ranks 872 out of 2292 chat models by input cost, making it cheaper than 60% of models in this category. For output, it costs $1.40 per 1M tokens compared to the median of $1.50.
Among Gmi's 17 chat models, Qwen3-VL-235B-A22B-Instruct-FP8 ranks 5 by input cost.
The most comparable chat models to Qwen3-VL-235B-A22B-Instruct-FP8 are: amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.30/1M input tokens); apac.amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.33/1M input tokens); eu.amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.33/1M input tokens); us.amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.33/1M 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-VL-235B-A22B-Instruct-FP8 supports up to 262,144 input tokens, placing it in the top 25% of chat models by context window size (rank 434 of 2159). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
Qwen3-VL-235B-A22B-Instruct-FP8 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 $0.30 and generating 1M output tokens costs $1.40.
