Llama 3.3 70B vs Mistral Small 4
Meta vs Mistral · Prices checked November 11, 2026
The two are closer than they look: Llama 3.3 70B at $0.2810 per million tokens blended, Mistral Small 4 at $0.2850, a 1 per cent difference. A single 100K-input, 10K-output job costs $0.0270 on Llama 3.3 70B against $0.0210 on Mistral Small 4.
Pricing and capacity
RatesUSD per million tokens. Prices checked November 11, 2026.
| Metric | Llama 3.3 70B | Mistral Small 4 | Difference |
|---|---|---|---|
| Input / 1M tokens | $0.2300 | $0.1500 | 35% |
| Output / 1M tokens | $0.4000 | $0.6000 | 33% |
| Blended · 70/30calculated | $0.2810 | $0.2850 | 1% |
| Blended · 50/50calculated | $0.3150 | $0.3750 | 16% |
| Blended · 80/20calculated | $0.2640 | $0.2400 | 9% |
| Blended · 20/80calculated | $0.3660 | $0.5100 | 28% |
| Job cost · 100K + 10Kcalculated | $0.0270 | $0.0210 | 22% |
| Job cost · 1M + 100Kcalculated | $0.2700 | $0.2100 | 22% |
| Context window | 128,000 | 128,000 | level |
Input and output rates are as published by each provider. Blended and job-cost rows are calculated comparison metrics, not published prices — how they are derived.
Which is cheaper depends on the shape of your workload: Mistral Small 4 for input-heavy retrieval, Llama 3.3 70B once output dominates. Context is level at 128,000 tokens on each side.
Benchmarks
These two models do not currently report scores on any of the same benchmark suites, so there is no like-for-like capability comparison to show. Rather than pad the page with one-sided numbers, the benchmark leaderboards list every score we do hold.
What each model is for
Llama 3.3 70B
Meta · Open
The most-deployed open-weights chat model in 2025, strong reasoning at 70B with broad inference-provider support.
- Strong open chat baseline
- Cheap on Groq/Cerebras
- 128K context
- Wide ecosystem
Mistral Small 4
Mistral · Efficient
Frequently asked questions
Which is cheaper, Llama 3.3 70B or Mistral Small 4?
The two are closer than they look: Llama 3.3 70B at $0.2810 per million tokens blended, Mistral Small 4 at $0.2850, a 1 per cent difference. A single 100K-input, 10K-output job costs $0.0270 on Llama 3.3 70B against $0.0210 on Mistral Small 4. Blended cost weights input at 70% and output at 30%; price your own token split for an exact answer, since the cheaper model on a blended basis is not always cheaper for your workload.
Which has the larger context window, Llama 3.3 70B or Mistral Small 4?
Context is level at 128,000 tokens on each side. The context window caps everything in a single request: prompt, retrieved documents, conversation history and the model’s own output all share it.
Can I compare Llama 3.3 70B and Mistral Small 4 on my own numbers?
Yes. Open both in the side-by-side comparison tool to see every field at once, or use the token calculator to price your actual prompt and monthly request volume against each model. Both are free and need no sign-up.
Price it for your own workload
Related matchups
Terms used on this page
Prices and scores are recomputed on every deploy from the catalogue. Prices checked November 11, 2026.