mixtral-8x22b-instruct
vercel_ai_gateway · chat model
mixtral-8x22b-instruct is listed here as a chat model from vercel_ai_gateway. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$1.2000 / 1M tokens
Output
$1.2000 / 1M tokens
Cached input
N/A
Context
2.0K
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
Context window
2.0K
Max input tokens
65.5K
Max output tokens
2.0K
Max tokens
2.0K
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.
Comparing from
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| mixtral-8x22b-instruct vercel_ai_gateway | In $1.2000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Function calling | 2.0K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| 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 | Text covered Overall 97% |
| 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 | Text covered Overall 97% |
| 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 | Text covered Overall 85% |
| meta.llama3-1-8b-instruct-v1:0 Bedrock | In $0.2200 / 1M tokens Out $0.2200 / 1M tokens | text
Output: text | Function calling | 2.0K | Text covered Overall 84% |
| us.meta.llama3-1-8b-instruct-v1:0 Bedrock | In $0.2200 / 1M tokens Out $0.2200 / 1M tokens | text
Output: text | Function calling | 2.0K | Text covered Overall 84% |
| mistral.mistral-small-2402-v1:0 Bedrock | In $1.0000 / 1M tokens Out $3.0000 / 1M tokens | text
Output: text | Function calling | 8.2K | Text covered Overall 81% |
| command-r-plus Azure | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | text
Output: text | Function calling | 4.1K | Text covered Overall 77% |
| Phi-4-mini-reasoning azure_ai | In $0.0800 / 1M tokens Out $0.3200 / 1M tokens | text
Output: text | Function calling | 4.1K | Text covered Overall 76% |
| Phi-4-mini-instruct azure_ai | In $0.0750 / 1M tokens Out $0.3000 / 1M tokens | text
Output: text | Function calling | 4.1K | Text covered Overall 76% |
| mistral-nemo azure_ai | In $0.1500 / 1M tokens Out $0.1500 / 1M tokens | text
Output: text | Function calling | 4.1K | Text covered Overall 75% |
| gpt-3.5-turbo vercel_ai_gateway | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens | text
Output: text | Function calling | 4.1K | Same provider Overall 73% |
| us.meta.llama3-3-70b-instruct-v1:0 bedrock_converse | In $0.7200 / 1M tokens Out $0.7200 / 1M tokens | text image
Output: text | Function calling | 4.1K | Text covered Overall 73% |
| codestral vercel_ai_gateway | In $0.3000 / 1M tokens Out $0.9000 / 1M tokens | text
Output: text | Function calling | 4.0K | Same provider Overall 71% |
| mistral.mistral-large-2402-v1:0 Bedrock | In $8.0000 / 1M tokens Out $24.0000 / 1M tokens | text
Output: text | Function calling | 8.2K | Text covered Overall 71% |
| mistral.mistral-large-2402-v1:0 Bedrock | In $10.4000 / 1M tokens Out $31.2000 / 1M tokens | text
Output: text | Function calling | 8.2K | Text covered Overall 70% |
| mixtral-8x22b-instruct-hf fireworks_ai | In $1.2000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Function calling | 65.5K | Text covered Overall 69% |
| llama-3.3-70b vercel_ai_gateway | In $0.7200 / 1M tokens Out $0.7200 / 1M tokens | text
Output: text | Function calling | 8.2K | Same provider Overall 68% |
| grok-2 vercel_ai_gateway | In $2.0000 / 1M tokens Out $10.0000 / 1M tokens | text
Output: text | Function calling | 4.0K | Same provider Overall 67% |
| command-r vercel_ai_gateway | In $0.1500 / 1M tokens Out $0.6000 / 1M tokens | text
Output: text | Function calling | 4.1K | Same provider Overall 67% |
| magistral-small vercel_ai_gateway | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens | text image
Output: text | Function calling | 64.0K | Same provider Overall 66% |
| dbrx-instruct fireworks_ai | In $1.2000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Low overlap | 32.8K | Text covered Overall 61% |
| deepseek-v2p5 fireworks_ai | In $1.2000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Low overlap | 32.8K | Text covered Overall 61% |
| deepseek-coder-v2-instruct fireworks_ai | In $1.2000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Low overlap | 65.5K | Text covered Overall 60% |
| cogito-671b-v2-p1 fireworks_ai | In $1.2000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Low overlap | 163.8K | Text covered Overall 60% |
| deepseek-prover-v2 fireworks_ai | In $1.2000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Low overlap | 163.8K | Text covered Overall 60% |
No models match this filter.