Last refreshed 2026-05-19. Next refresh: weekly.
Why use Mixtral 8x22B Instruct v0.1 on Replicate API?
Replicate API offers Mixtral 8x22B Instruct v0.1 with pay-as-you-go pricing at $2.10/1M input tokens. Replicate is a cloud-based platform that enables users to run machine learning models easily and efficiently.
Compare Mixtral 8x22B Instruct v0.1 across 4 providers to find the best fit for your use caseInput / 1M
$2.10
Output / 1M
$2.10
Cache
Not sourced
Batch
Not sourced
Setup recipe
Python + curlInstall
pip install replicateAuth
export REPLICATE_API_TOKEN=...Call
import replicate
output = replicate.run(
"mixtral-8x22b-instruct-v0.1",
input={"prompt": "Hello"}Model ID
mixtral-8x22b-instruct-v0.1Request example
import replicate
# reads REPLICATE_API_TOKEN from env
# mixtral-8x22b-instruct-v0.1 format: "owner/model-name" (latest version) or "owner/model-name:version-hash"
output = replicate.run(
"mixtral-8x22b-instruct-v0.1",
input={"prompt": "Hello"}
)
# Output is a list or generator depending on the model
print("".join(output))Gotchas
- Replicate uses "owner/model-name" format (e.g. "meta/meta-llama-3-8b-instruct") for the latest version, or "owner/model-name:version-sha" to pin to a specific version. The REST endpoint splits owner and model-name into the path: /v1/models/{owner}/{model-name}/predictions.
- The examples expect REPLICATE_API_TOKEN; rename it only if your application config maps the new variable.
Compare Mixtral 8x22B Instruct v0.1 Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| OpenRouter | $2.00 | $6.00 |
| Fireworks AI | $1.20 | $1.20 |
| SiliconFlow | $0.65 | $0.65 |
| Replicate API | $2.10 | $2.10 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $2.10 |
| Output tokens | $2.10 |
Capabilities
No model capability flags are currently sourced.
About Mixtral 8x22B Instruct v0.1
Mixtral 8x22B Instruct v0.1 is MistralAI's Mixtral model. It offers a 64K-token context window and scores 56.3 on MMLU PRO.
Get Started
Model Specs
Released2024-04-17
Parameters8x22B
Context64k
ArchitectureMixture of Experts
Knowledge cutoff2024-01