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Mixtral-8x7B-Instruct-v0.1

anyscale · chat model

Mixtral-8x7B-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.

Input
$0.1500 / 1M tokens
Output
$0.1500 / 1M tokens
Cached input
N/A
Context
16.4K
Compare similar models Open a side-by-side table using this route and the closest match from the current catalog. Estimate workload cost Use token counts, request volume, and cache assumptions to check a realistic monthly bill. Explore benchmarks Review benchmark rows by family and benchmark label without cross-benchmark ranking. Check data sources See how pricing data is generated and what still needs provider verification.

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
$0.1500 / 1M tokens
Output
$0.1500 / 1M tokens
Embedding
$0.1500 / 1M tokens

Token limits

Context window
16.4K
Max input tokens
16.4K
Max output tokens
16.4K
Max tokens
16.4K

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 —

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-8x7B-Instruct-v0.1
anyscale
In $0.1500 / 1M tokens
Out $0.1500 / 1M tokens
Output: unknown
Function calling
16.4K
Current model
Reference row

Overall blends cost, modality overlap, capabilities, and context.

Model Cost Input shape Features Context Why it is close
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 60%
DeepSeek-V3.2
gmi
In $0.2800 / 1M tokens
Out $0.4000 / 1M tokens
Output: unknown
Function calling
16.4K
Partial I/O overlap
Overall 49%
mistral-nemo
azure_ai
In $0.1500 / 1M tokens
Out $0.1500 / 1M tokens
text
Output: text
Function calling
4.1K
Partial I/O overlap
Overall 49%
meta.llama3-2-3b-instruct-v1:0
Bedrock
In $0.1500 / 1M tokens
Out $0.1500 / 1M tokens
text
Output: text
Function calling
4.1K
Partial I/O overlap
Overall 49%
us.meta.llama3-2-3b-instruct-v1:0
Bedrock
In $0.1500 / 1M tokens
Out $0.1500 / 1M tokens
text
Output: text
Function calling
4.1K
Partial I/O overlap
Overall 49%
cohere.command-r-08-2024
oci
In $0.1500 / 1M tokens
Out $0.1500 / 1M tokens
Output: unknown
Function calling
4.0K
Partial I/O overlap
Overall 49%
eu.meta.llama3-2-1b-instruct-v1:0
Bedrock
In $0.1300 / 1M tokens
Out $0.1300 / 1M tokens
text
Output: text
Function calling
4.1K
Partial I/O overlap
Overall 46%
Phi-4-mini-instruct
azure_ai
In $0.0750 / 1M tokens
Out $0.3000 / 1M tokens
text
Output: text
Function calling
4.1K
Partial I/O overlap
Overall 39%
zephyr-7b-beta
anyscale
In $0.1500 / 1M tokens
Out $0.1500 / 1M tokens
Output: unknown
Low overlap
16.4K
Same provider
Overall 35%
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 33%
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 33%
Mixtral-8x22B-Instruct-v0.1
anyscale
In $0.9000 / 1M tokens
Out $0.9000 / 1M tokens
Output: unknown
Function calling
65.5K
Same provider
Overall 32%
command-r-plus
Azure
In $3.0000 / 1M tokens
Out $15.0000 / 1M tokens
text
Output: text
Function calling
4.1K
Partial I/O overlap
Overall 29%
gemma-7b-it
anyscale
In $0.1500 / 1M tokens
Out $0.1500 / 1M tokens
Output: unknown
Low overlap
8.2K
Same provider
Overall 28%
Meta-Llama-3-8B-Instruct
anyscale
In $0.1500 / 1M tokens
Out $0.1500 / 1M tokens
Output: unknown
Low overlap
8.2K
Same provider
Overall 28%
Llama-2-7b-chat-hf
anyscale
In $0.1500 / 1M tokens
Out $0.1500 / 1M tokens
Output: unknown
Low overlap
4.1K
Same provider
Overall 24%