Llama 3.3 70B vs Mistral Small 4
Meta vs Mistral · Prices checked 12 August 2026
The two are closer than they look: Mistral Small 4 at $0.160 per million tokens blended, Llama 3.3 70B at $0.281, a 43 per cent difference. A single 100K-input, 10K-output job costs $0.013 on Mistral Small 4 against $0.027 on Llama 3.3 70B.
Of the 3 shared benchmarks, Llama 3.3 70B takes 3. The widest gap is on LMArena Elo, where Llama 3.3 70B leads by 82 points. Context is level at 128,000 tokens on each side.
Pricing and capacity
| Metric | Llama 3.3 70B | Mistral Small 4 | Difference |
|---|---|---|---|
| Input / 1M tokens | $0.230 | $0.100 | 2.3× |
| Output / 1M tokens | $0.400 | $0.300 | 25% |
| Blended · 70/30calculated | $0.281 | $0.160 | 43% |
| Blended · 50/50calculated | $0.315 | $0.200 | 37% |
| Blended · 80/20calculated | $0.264 | $0.140 | 47% |
| Blended · 20/80calculated | $0.366 | $0.260 | 29% |
| Job cost · 100K + 10Kcalculated | $0.027 | $0.013 | 2.1× |
| Job cost · 1M + 100Kcalculated | $0.270 | $0.130 | 2.1× |
| 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.
Benchmarks
| Benchmark | Llama 3.3 70B | Mistral Small 4 | Leader |
|---|---|---|---|
| MMLU | 86% | 71% | Llama 3.3 70B |
| HumanEval | 80% | 68% | Llama 3.3 70B |
| LMArena Elo | 1257 Elo | 1175 Elo | Llama 3.3 70B |
Only suites both models report are listed, so a missing score is never shown as a loss. Figures are provider-published or from public leaderboards and are not independently re-run. Where a model has no score of its own it inherits its base model’s, since the weights are the same.
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
Mistral's 24B small model: open-weights, fast, and strong on instruction following for its size.
- Open weights (Apache 2.0)
- Single-GPU friendly
- 128K context
Frequently asked questions
Which is cheaper, Llama 3.3 70B or Mistral Small 4?
The two are closer than they look: Mistral Small 4 at $0.160 per million tokens blended, Llama 3.3 70B at $0.281, a 43 per cent difference. A single 100K-input, 10K-output job costs $0.013 on Mistral Small 4 against $0.027 on Llama 3.3 70B. 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 performs better, Llama 3.3 70B or Mistral Small 4?
Of the 3 shared benchmarks, Llama 3.3 70B takes 3. The widest gap is on LMArena Elo, where Llama 3.3 70B leads by 82 points. These are the figures each provider or public leaderboard publishes, not results we re-run, and a benchmark average can hide the specific behaviour your workload depends on.
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 12 August 2026.