Mistral Nemo vs Stable LM 2
Performance benchmarks + pricing comparison — updated April 2026
Mistral Nemo
MistralCompact 12B open-weight model co-developed with NVIDIA. Excellent coding performance at minimal cost.
| Input | $0.150/M |
| Output | $0.150/M |
| Context | 128K tokens |
| Best For | Self-hosted deployments, cost-sensitive coding, edge deployments |
| Benchmark | 48/100 |
Stable LM 2
Stability AIStability AI's general-purpose language model. Open weights with competitive performance.
| Input | $0.100/M |
| Output | $0.400/M |
| Context | 32K tokens |
| Best For | General text generation, multilingual tasks, open-source projects |
Cost Comparison by Scenario
Estimated cost per project with 30% cache hit rate. Actual costs may vary based on usage patterns.
| Scenario | Mistral Nemo | Stable LM 2 | Savings |
|---|---|---|---|
| Small Script (1K lines) | <$0.01 | $0.02 | Mistral Nemo saves <$0.01 (37%) |
| Medium Feature (10K lines) | $0.08 | $0.12 | Mistral Nemo saves $0.03 (28%) |
| Large Project (50K lines) | $0.41 | $0.58 | Mistral Nemo saves $0.16 (28%) |
| Code Review (5K lines) | $0.03 | $0.03 | Stable LM 2 saves <$0.01 (8%) |
Verdict
Stable LM 2 wins on both price and performance — $0.100/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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