Meta
Llama-3.1 70B
VS
Mistral AI
Codestral 22B
Decision Recommendation
👑 Editorial Verdict: Llama-3.1 70B strictly dominates Codestral 22B across all compared dimensions. It is not only more cost-effective (blended cost of $0.00 vs $0.45 per 1M tokens) but also delivers superior coding accuracy (0% vs 0% on SWE-bench). Unless you have platform lock-in, Llama-3.1 70B is the clear and optimal choice for all development workloads.
Model Specs
Llama-3.1 70B
Benchmarks & Scores
Coding (swe-bench-pro)
N/AReasoning (gpqa-diamond)Winner (+)
46.7%Cost & Performance
Cost (per 1M tokens)
N/AInput: N/A | Output: N/AContext WindowLarger
131.07k tokensModel Specs
Codestral 22B
Benchmarks & Scores
Coding (swe-bench-pro)
N/AReasoning (gpqa-diamond)
N/ACost & Performance
Cost (per 1M tokens)
$0.45Input: $0.30 | Output: $0.90Context Window
32.77k tokensFrequently Asked Questions
Pricing data is currently unavailable for one or both of these models, so a direct cost comparison cannot be determined.
Coding benchmark scores are not currently recorded for these models.
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