Compare
Mistral 7b Instruct V0 1 vs Mistral Devstral 2 123b
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
Mistral 7b Instruct V0 1
Context window
16K
16,384 tokens · ~12K words
Model
Mistral Devstral 2 123b
Context window
256K
256,000 tokens · ~192K 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.
Mistral Devstral 2 123b has about 15.6× the context window of the other in this pair.
Mistral Devstral 2 123b has 1462% more context capacity (256K vs 16K tokens). Mistral 7b Instruct V0 1 is 62% cheaper on input.
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use Mistral Devstral 2 123b. Its 256K context fits entire documents without chunking (vs 16K).
RAG / high-volume retrieval
Use Mistral 7b Instruct V0 1. Input tokens are 62% cheaper — critical when sending large retrieved contexts.
Long output (reports, code files)
Use Mistral 7b Instruct V0 1. Its 16K 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 | Mistral 7b Instruct V0 1 | Mistral Devstral 2 123b |
|---|---|---|
| Context window | 16,384 tokens (16K) | 256,000 tokens (256K) |
| Max output tokens | 16,384 tokens (16K) | 8,192 tokens (8K) |
| Speed tier | Fast | Fast |
| Vision | No | No |
| Function calling | Yes | Yes |
| Extended thinking | No | No |
| Prompt caching | No | No |
| Batch API | No | No |
| Release date | N/A | N/A |
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 | Mistral 7b Instruct V0 1 in | Mistral 7b Instruct V0 1 out | Mistral Devstral 2 123b in | Mistral Devstral 2 123b out |
|---|---|---|---|---|
| Anyscale | $0.150/M | $0.150/M | — | — |
| Aws Bedrock | — | — | $0.400/M | $2.00/M |
| Cloudflare | $1.92/M | $1.92/M | — | — |
| Together Ai | — | — | — | — |
Frequently asked questions
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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