LLM Comparison
Llama 4 Maverick vs Mistral Small 4
Side-by-side specs, pricing & capabilities · Updated October 2026
Price vs Intelligence
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 24 62.9 | 17 44.3 |
| Family | Llama | Mistral |
| Status | Current | Current |
| Release Date | Apr 2025 | Mar 2026 |
| Context Window | 1.0M tokens | 262K tokens |
| Input Price | $0.15/M tokens | $0.15/M tokens |
| Output Price | $0.60/M tokens | $0.60/M tokens |
| Pricing Notes | — | Cache read: $0.0150/M tokens |
| Capabilities | textvisioncode | textvisioncodetool-use |
| Max Output | 16K tokens | — |
| API Identifier | meta-llama/llama-4-maverick | mistralai/mistral-small-2603 |
| Benchmarks | ||
| MMLU | 85.5meta | — |
| MMLU Pro | 80.5meta | — |
| GPQA Diamond | 69.8meta | 58.8mistral |
| MATH | 61.2meta | — |
| LiveCodeBench (10/01/2024-02/01/2025) | 43.4meta | — |
| MMMU | 73.4meta | — |
| Artificial Analysis Intelligence Index v4.3 | 9.299artificial-analysis | 11.4511artificial-analysis |
| SciCode | 31.713artificial-analysis | 38.7731artificial-analysis |
| Terminal-Bench 2.1 | 7.8652artificial-analysis | 20.9738artificial-analysis |
| AIME 2025 | 19.3333artificial-analysis | — |
| MMLU-Pro | — | 68.5mistral |
| HumanEval | — | 78.5mistral |
| MGSM | — | 72.3mistral |
| LiveCodeBench | — | 64mistral |
| View Llama 4 Maverick | View Mistral Small 4 | |
Cost Calculator
Enter your expected monthly token usage to compare costs.
| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| Llama 4 MaverickCheapest | $0.15 | $0.30 | $0.45 | — |
| Mistral Small 4Cheapest | $0.15 | $0.30 | $0.45 | — |
Meta
Llama 4 Maverick
Llama 4 Maverick is a multimodal llm from Meta. Supports up to 1,048,576 token context window. Achieves 88.4% on MMLU. Available from $0.15/M input tokens.
Mistral AI
Mistral Small 4
Mistral Small 4 is Mistral's Apache-2.0 open-weight hybrid model for instruction following, reasoning, and coding. It has 119B total parameters, 6.5B active parameters, and a 256K-token context window.
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