Mixtral-8x22B-Instruct-v0.1
anyscale · chat model
Mixtral-8x22B-Instruct-v0.1 is listed here as a chat model from anyscale. 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 | $0.9000 / 1M tokens |
| Output | $0.9000 / 1M tokens |
| Embedding | $0.9000 / 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-v0.1 anyscale | In $0.9000 / 1M tokens Out $0.9000 / 1M tokens |
Output: unknown | Function calling | 65.5K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
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Output: text | Function calling | 64.0K | Partial I/O overlap Overall 51% |
| DeepSeek-R1-Distill-Llama-70B nebius | In $0.2500 / 1M tokens Out $0.7500 / 1M tokens |
Output: unknown | Function calling | 128.0K | Partial I/O overlap Overall 44% |
| DeepSeek-V3 nebius | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens |
Output: unknown | Function calling | 128.0K | Partial I/O overlap Overall 44% |
| DeepSeek-V3-0324 nebius | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens |
Output: unknown | Function calling | 128.0K | Partial I/O overlap Overall 44% |
| Llama-3.1-Nemotron-Ultra-253B-v1 nebius | In $0.6000 / 1M tokens Out $1.8000 / 1M tokens |
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| Meta-Llama-3.1-405B-Instruct nebius | In $1.0000 / 1M tokens Out $3.0000 / 1M tokens |
Output: unknown | Function calling | 128.0K | Partial I/O overlap Overall 44% |
| meta.llama3-1-70b-instruct-v1:0 Bedrock | In $0.9900 / 1M tokens Out $0.9900 / 1M tokens | text
Output: text | Function calling | 2.0K | Partial I/O overlap Overall 44% |
| us.meta.llama3-1-70b-instruct-v1:0 Bedrock | In $0.9900 / 1M tokens Out $0.9900 / 1M tokens | text
Output: text | Function calling | 2.0K | Partial I/O overlap Overall 44% |
| meta.llama3-3-70b-instruct-v1:0 bedrock_converse | In $0.7200 / 1M tokens Out $0.7200 / 1M tokens | text
Output: text | Function calling | 4.1K | Partial I/O overlap Overall 42% |
| meta.llama-3.3-70b-instruct oci | In $0.7200 / 1M tokens Out $0.7200 / 1M tokens |
Output: unknown | Function calling | 4.0K | Partial I/O overlap Overall 42% |
| meta.llama-4-maverick-17b-128e-instruct-fp8 oci | In $0.7200 / 1M tokens Out $0.7200 / 1M tokens |
Output: unknown | Function calling | 4.0K | Partial I/O overlap Overall 42% |
| meta.llama-4-scout-17b-16e-instruct oci | In $0.7200 / 1M tokens Out $0.7200 / 1M tokens |
Output: unknown | Function calling | 4.0K | Partial I/O overlap Overall 42% |
| mistral-large-2402 Azure | In $8.0000 / 1M tokens Out $24.0000 / 1M tokens |
Output: unknown | Function calling | 32.0K | Partial I/O overlap Overall 34% |
| mistral-large-latest Azure | In $8.0000 / 1M tokens Out $24.0000 / 1M tokens |
Output: unknown | Function calling | 32.0K | Partial I/O overlap Overall 34% |
| Mistral-7B-Instruct-v0.1 anyscale | In $0.1500 / 1M tokens Out $0.1500 / 1M tokens |
Output: unknown | Function calling | 16.4K | Same provider Overall 32% |
| Mixtral-8x7B-Instruct-v0.1 anyscale | In $0.1500 / 1M tokens Out $0.1500 / 1M tokens |
Output: unknown | Function calling | 16.4K | Same provider Overall 32% |
| Phi-4-mini-instruct azure_ai | In $0.0750 / 1M tokens Out $0.3000 / 1M tokens | text
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Output: text | Function calling | 8.2K | Partial I/O overlap Overall 30% |
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Output: text | Function calling | 4.1K | Partial I/O overlap Overall 29% |
| qwen2-72b-instruct fireworks_ai | In $0.9000 / 1M tokens Out $0.9000 / 1M tokens | text
Output: text | Low overlap | 32.8K | Partial I/O overlap Overall 28% |
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Output: text | Low overlap | 163.8K | Partial I/O overlap Overall 26% |
| llama-v3p2-90b-vision-instruct fireworks_ai | In $0.9000 / 1M tokens Out $0.9000 / 1M tokens | imagetext
Output: text | Low overlap | 16.4K | Partial I/O overlap Overall 24% |
| deepseek-v3 fireworks_ai | In $0.9000 / 1M tokens Out $0.9000 / 1M tokens | text
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Output: text | Low overlap | 4.1K | Partial I/O overlap Overall 21% |
| Meta-Llama-3-70B-Instruct anyscale | In $1.0000 / 1M tokens Out $1.0000 / 1M tokens |
Output: unknown | Low overlap | 8.2K | Same provider Overall 20% |
| CodeLlama-34b-Instruct-hf anyscale | In $1.0000 / 1M tokens Out $1.0000 / 1M tokens |
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| CodeLlama-70b-Instruct-hf anyscale | In $1.0000 / 1M tokens Out $1.0000 / 1M tokens |
Output: unknown | Low overlap | 4.1K | Same provider Overall 19% |
| Llama-2-70b-chat-hf anyscale | In $1.0000 / 1M tokens Out $1.0000 / 1M tokens |
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No models match this filter.