TokenAtlas
Mistral
OpenAIHosted pricing
Mistral Large 2: $2 in / $6 out per 1M. Mixtral 8x22B: $2 in / $6 out. GPT-4o: $2.50 in / $10 out. On output-heavy workloads Mistral is ~40% cheaper.
Self-hosted economics
Mixtral on an H100 cluster breaks even vs hosted around 200M tokens/month. Below that, hosted APIs win on TCO. TokenAtlas models both paths.
Quality
Mistral Large 2 is competitive with GPT-4o on European languages and code. GPT-4o leads on English creative writing and complex reasoning.
A stated workload against two OpenAI tiers
At 20M input tokens and 8M output tokens a month: Mistral Large 2 = (20M x $2) + (8M x $6) = $40 + $48 = $88. GPT-4o = (20M x $2.50) + (8M x $10) = $50 + $80 = $130. GPT-4.1 = (20M x $2) + (8M x $8) = $40 + $64 = $104. Mistral is 32% cheaper than GPT-4o but only 15% cheaper than GPT-4.1 — the OpenAI tier you're comparing against changes the size of the gap substantially.
Where the gap narrows or widens
Mistral and GPT-4.1 share the same $2/1M input rate, so their entire cost difference comes from output ($6 vs $8/1M). On an output-heavy job (2M in / 26M out): Mistral = $4 + $156 = $160; GPT-4.1 = $4 + $208 = $212, a 25% gap. Against GPT-4o's $10/1M output rate, the same workload widens to Mistral $160 vs GPT-4o $4 + $260 = $264, a 39% gap — output-heavy jobs favor Mistral more against GPT-4o than against GPT-4.1.
Context window as a false-economy trap
Mistral Large 2 caps at 128K tokens; GPT-4.1 reaches 1M. A workload that occasionally needs to process 300K-token documents can't run on Mistral in one call at any price — it needs chunking, extra calls, and re-sent context, which can erase the per-token savings shown above for that portion of traffic. Check your maximum prompt length, not just your average, before committing to the cheaper per-token option.
Running this on your own numbers
Price your real monthly input and output token counts against Mistral Large, GPT-4o, and GPT-4.1 separately in TokenAtlas rather than assuming 'OpenAI' is one price point — as shown above, GPT-4.1 and GPT-4o produce different verdicts against the same Mistral workload.
What this comparison can't settle
Per-token pricing doesn't capture code quality, instruction-following on your prompts, or compliance requirements (data residency, contractual terms) — evaluate those separately against your own tests and legal requirements rather than by price alone.
Frequently asked questions
- Is Mistral GDPR-friendly?
- Yes — EU-hosted, EU-trained, and a popular choice for European compliance teams.
- Are Mixtral weights free?
- Mixtral is Apache 2.0. Mistral Large is commercial-licensed.
- Can I mix Mistral and OpenAI in one product?
- Yes — multi-provider routing is standard on Pro.