Mistral Large 2 vs Groq Llama 3.3 70B
Performance benchmarks + pricing comparison — updated April 2026
Mistral Large 2
MistralMistral's flagship model. Strong multilingual and coding capability.
| Input | $2.00/M |
| Output | $6.00/M |
| Context | 128K tokens |
| Best For | Enterprise coding, multilingual tasks |
| Benchmark | 65/100 |
Groq Llama 3.3 70B
GroqLlama 3.3 70B running on Groq's ultra-fast LPU inference. Sub-100ms responses for 70B model.
| Input | $0.590/M |
| Output | $0.790/M |
| Context | 128K tokens |
| Best For | Real-time applications, fast chat, low-latency coding |
Cost Comparison by Scenario
Estimated cost per project with 30% cache hit rate. Actual costs may vary based on usage patterns.
| Scenario | Mistral Large 2 | Groq Llama 3.3 70B | Savings |
|---|---|---|---|
| Small Script (1K lines) | $0.25 | $0.04 | Groq Llama 3.3 70B saves $0.21 (82%) |
| Medium Feature (10K lines) | $1.90 | $0.36 | Groq Llama 3.3 70B saves $1.54 (81%) |
| Large Project (50K lines) | $9.50 | $1.82 | Groq Llama 3.3 70B saves $7.68 (81%) |
| Code Review (5K lines) | $0.50 | $0.12 | Groq Llama 3.3 70B saves $0.38 (75%) |
Verdict
Groq Llama 3.3 70B wins on both price and performance — $0.590/M input with a benchmark score of N/A/100.
For most developers, this is the clear choice between these two models.
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