Stable LM 2 vs O3 Mini
Performance benchmarks + pricing comparison — updated April 2026
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 |
O3 Mini
OpenAIOpenAI's reasoning model at lower cost. Strong at math, coding, and science tasks.
| Input | $1.10/M |
| Output | $4.40/M |
| Context | 200K tokens |
| Best For | Math, science, coding tasks requiring deep reasoning |
| Benchmark | 80/100 |
Cost Comparison by Scenario
Estimated cost per project with 30% cache hit rate. Actual costs may vary based on usage patterns.
| Scenario | Stable LM 2 | O3 Mini | Savings |
|---|---|---|---|
| Small Script (1K lines) | $0.02 | $0.17 | Stable LM 2 saves $0.16 (91%) |
| Medium Feature (10K lines) | $0.12 | $1.27 | Stable LM 2 saves $1.15 (91%) |
| Large Project (50K lines) | $0.58 | $6.33 | Stable LM 2 saves $5.75 (91%) |
| Code Review (5K lines) | $0.03 | $0.30 | Stable LM 2 saves $0.27 (91%) |
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.
Compare with Other Models
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