
Mistral's official instruct fine-tuned version of Mixtral 8x22B. It uses 39B active parameters out of 141B, offering unparalleled cost efficiency for its size. Its strengths include:
See benchmarks on the launch announcement here(opens in new tab). #moe
Modalities
In / Out Price
$2 / $6per 1M
Context
66K
Released
Apr 17, 2024
Knowledge Cutoff
Jan 2024
This model is hosted by one provider. OpenRouter forwards every request to it directly — no routing decisions to make.
The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.
Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).
Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.
Scores on standardized evaluations. Higher percentages are better — and rank percentile shows where this model lands among all models on OpenRouter.
Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.
Token volume and request traffic to this model over time.
Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.
Mistral's official instruct fine-tuned version of Mixtral 8x22B. It uses 39B active parameters out of 141B, offering unparalleled cost efficiency for its size. Its strengths include: - strong math, coding, and reasoning - large context length (64k) - fluency in English, French, Italian, German, and Spanish See benchmarks on the launch announcement here. #moe
Mixtral 8x22B Instruct costs $2.00/M input tokens and $6.00/M output tokens, with separate rates for Cache Read at $0.20/M tokens.
Mixtral 8x22B Instruct has a 65,536 token context window.
Yes. Mixtral 8x22B Instruct accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
Mixtral 8x22B Instruct accepts text and files such as PDFs as input and returns text.
Mistral Medium 3.5, Mistral Small 4, Ministral 3 14B 2512 and 14 more are other text models from Mistral AI.
Mixtral 8x22B Instruct was released on April 17, 2024. Its knowledge cutoff is January 31, 2024.
| $2.00 | $6.00 | $0.20 | 0.50s | 104 tps |
Throughput
104tok/s
P50, best across providers
Latency
0.49s
P50, best provider
100.00%
99.15%
When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and customization options.