mixtral-8x22b-instruct-hf
fireworks_ai · chat model
mixtral-8x22b-instruct-hf is listed here as a chat model from fireworks_ai. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Quick read
Best for
Use this page when you need a fast view of cost, context size, and supported features before testing the model in your own workload.
Things to verify
Always check the provider page for discounts, cache pricing, region rules, and any model limits that may not appear in public metadata.
Pricing
| Item | Price |
|---|---|
| Input | $1.2000 / 1M tokens |
| Output | $1.2000 / 1M tokens |
| Embedding | $1.2000 / 1M tokens |
Token limits
Capabilities
| Capability | Supported |
|---|---|
| Vision | — |
| Function calling | ✅ |
| Parallel function calling | — |
| Tool choice | ✅ |
| Prompt caching | — |
| Reasoning | — |
| Response schema | ✅ |
| System messages | — |
| Audio input | — |
| Audio output | — |
| Web search | — |
| PDF input | — |
| Video input | — |
Benchmarks
Most benchmark rows are attached to the base model family rather than this provider route. Open benchmark explorer
Sources
| Source links | |
| Pricing data | LiteLLM model cost map |
| Synced at | 2026-05-28 |
Docs
| Official docs |
Similar models
This list is ranked by overall similarity. Use filters to emphasize the lens that matters most for the replacement you are making.
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| mixtral-8x22b-instruct-hf fireworks_ai | In $1.2000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 65.5K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| deepseek-r1-distill-llama-70b vercel_ai_gateway | In $0.7500 / 1M tokens Out $0.9900 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 131.1K | Text covered Overall 87% |
| o3-mini vercel_ai_gateway | In $1.1000 / 1M tokens Out $4.4000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 100.0K | Text covered Overall 86% |
| deepseek-coder-v2-instruct fireworks_ai | In $1.2000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Response schema | 65.5K | Same provider Overall 83% |
| minimax-m2p1 fireworks_ai | In $0.3000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 204.8K | Same provider Overall 83% |
| minimax-m2p1 fireworks_ai | In $0.3000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 204.8K | Same provider Overall 83% |
| qwen3-coder vercel_ai_gateway | In $0.4000 / 1M tokens Out $1.6000 / 1M tokens | text
Output: text | Function callingTool choice | 66.5K | Text covered Overall 83% |
| kimi-k2-instruct-0905 fireworks_ai | In $0.6000 / 1M tokens Out $2.5000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 32.8K | Same provider Overall 82% |
| firefunction-v2 fireworks_ai | In $0.9000 / 1M tokens Out $0.9000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 8.2K | Same provider Overall 82% |
| glm-4p5 fireworks_ai | In $0.5500 / 1M tokens Out $2.1900 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 96.0K | Same provider Overall 79% |
| open-mixtral-8x7b Mistral | In $0.7000 / 1M tokens Out $0.7000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 8.2K | Text covered Overall 79% |
| kimi-k2-instruct fireworks_ai | In $0.6000 / 1M tokens Out $2.5000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 16.4K | Same provider Overall 79% |
| llama-v3p1-405b-instruct fireworks_ai | In $3.0000 / 1M tokens Out $3.0000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 16.4K | Same provider Overall 77% |
| mixtral-8x22b-instruct vercel_ai_gateway | In $1.2000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Function calling | 2.0K | Text covered Overall 69% |
| dbrx-instruct fireworks_ai | In $1.2000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Low overlap | 32.8K | Same provider Overall 68% |
| deepseek-v2p5 fireworks_ai | In $1.2000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Low overlap | 32.8K | Same provider Overall 68% |
| cogito-671b-v2-p1 fireworks_ai | In $1.2000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Low overlap | 163.8K | Same provider Overall 66% |
| deepseek-prover-v2 fireworks_ai | In $1.2000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Low overlap | 163.8K | Same provider Overall 66% |
No models match this filter.