Compare
R1 vs Mixtral 8x22B Instruct
This page is context-first: how much text each model can take in one request. Full specs adds capabilities and limits; the pricing matrix below is only about $/million tokens from hosts that list both models.
Model
Mixtral 8x22B Instruct
Context window
66K
65,536 tokens · ~49K words
Context window · side by side
Bar length is relative to the larger of the two windows (100% = max of this pair). This is not pricing.
R1 has about 2× the context window of the other in this pair.
R1 has 95% more context capacity (128K vs 65K tokens). R1 is 54% cheaper on input.
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use R1. Its 128K context fits entire documents without chunking (vs 65K).
RAG / high-volume retrieval
Use R1. Input tokens are 54% cheaper — critical when sending large retrieved contexts.
Long output (reports, code files)
Use Mixtral 8x22B Instruct. Its 65K max output lets you generate complete artifacts in one request.
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | R1 | Mixtral 8x22B Instruct |
|---|---|---|
| Context window | 128,000 tokens (128K) | 65,536 tokens (65K) |
| Max output tokens | 8,192 tokens (8K) | 65,536 tokens (65K) |
| Speed tier | Deep | Balanced |
| Vision | No | No |
| Function calling | Yes | Yes |
| Extended thinking | Yes | No |
| Prompt caching | Yes | Yes |
| Batch API | No | No |
| Release date | Jan 2025 | Apr 2024 |
Pricing matrix
Dollar rates only: hosts that list both models, per 1M tokens. For how much text fits, use the context section above — not this table.
| Provider | R1 in | R1 out | Mixtral 8x22B Instruct in | Mixtral 8x22B Instruct out |
|---|---|---|---|---|
| Aws Bedrock | $1.35/M | $5.40/M | — | — |
| Azure | $1.35/M | $5.40/M | — | — |
| Deepinfra | $0.700/M | $2.40/M | — | — |
| Deepseek | $0.550/M | $2.19/M | — | — |
| Fireworks | $3.00/M | $8.00/M | $1.20/M | $1.20/M |
| Hyperbolic | $0.400/M | $0.400/M | — | — |
| Nebius | $0.800/M | $2.40/M | — | — |
| Novita | $0.700/M | $2.50/M | — | — |
| Openrouter | $0.700/M | $2.50/M | — | — |
| Replicate | $3.75/M | $10.00/M | — | — |
| Sambanova | $5.00/M | $7.00/M | — | — |
| Snowflake | $1.35/M | $5.40/M | — | — |
| Together Ai | $3.00/M | $7.00/M | — | — |
Frequently asked questions
Powered by Mem0
Use a smaller model.
Get better results.
Mem0 gives your AI long-term memory so you stop re-sending context on every call. That means you can use a smaller, faster, cheaper model — and still get better answers.
Example: a multi-turn chat session
80% less to send — works with any model