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Mistral Large vs Open Mistral 7b
Pricing is only the shared seller matrix below. Best rates and catalog map are separate sections, so no chart is embedded in pricing. Open the calculator for the same workload on each side.
Open Mistral 7b is cheaper across the board — 87% cheaper on input and 95% cheaper on output.
Pricing matrix
Shared sellers only. Each row is a host that lists both models. Dollar amounts are per 1M tokens. Lowest in each pair of columns is emphasized.
| Provider | Mistral Large in | Mistral Large out | Open Mistral 7b in | Open Mistral 7b out |
|---|---|---|---|---|
| Azure | $4.00 | $12.00 | N/A | N/A |
| Ibm Watsonx | $3.00 | $10.00 | N/A | N/A |
| Mistral AI | $2.00 | $6.00 | $0.250 | $0.250 |
| Openrouter | $8.00 | $24.00 | N/A | N/A |
| Snowflake | N/A | N/A | N/A | N/A |
| Vercel Ai Gateway | $2.00 | $6.00 | N/A | N/A |
Best listed rates (this pair)
Same "best row in current pricing" logic as model pages: a compact view of the lowest input and output we show for each side. This is not the seller matrix.
Catalog map · Mistral AI
Each chart uses real catalog rows that include both list input and list output ($/1M). Larger green dots are the models on this comparison page; accent dots are other active models from that provider.
Mistral AI · input vs output
Scatter chart: X = input $/M, Y = output $/M. This page's models are labeled on the green dots; hover others for detail.
One dot per catalog row that has both list prices. Green dots are labeled with the models on this page; hover any dot for name and prices. Upper-right means higher cost on both axes ($/1M).
Specifications
Each column header is the full model name. Tint marks the favorable value where we compute a winner.
- Context window
- 128,000 tokens
- 32,000 tokens
- Max output tokens
- 8,192 tokens
- 8,191 tokens
- Vision
- No
- No
- Function calling
- Yes
- No
- Streaming
- Yes
- No
- Release date
- Feb 2024
- N/A
Cost calculator
Same requests, input tokens, and output tokens for both columns. Pick the provider row that matches how you buy.
When to pick which
Short takeaways: no cards, just the points. Validate with your own workloads.
Long-context tasks
Use Mistral Large. Its 128K context window handles large codebases and documents better than 32K.
High-volume text generation
Use Open Mistral 7b. Output tokens are 95% cheaper, which compounds significantly at scale.
Long output (reports, code files)
Use Mistral Large. Its 8K max output limit reduces the need to split requests.
Frequently asked questions
More comparisons
Other popular head-to-head matchups.
- Mistral Large vs Mistral 7B
Mistral 7B 95% cheaper on output
- Mistral Large vs Mixtral 8x7B
Mixtral 8x7B 88% cheaper on output
- Mistral Large vs GPT-4o
Mistral Large 40% cheaper on output
- Mistral Large vs GPT-4o mini
GPT-4o mini 90% cheaper on output
- Open Mistral 7b vs Mistral 7B
Same output pricing
- Open Mistral 7b vs Mixtral 8x7B
Open Mistral 7b 64% cheaper on output