GPT-3.5 Turbo vs Stable LM 2
Performance benchmarks + pricing comparison — updated April 2026
GPT-3.5 Turbo
OpenAIBudget model for simple tasks. Being phased out but still widely used.
| Input | $0.500/M |
| Output | $1.50/M |
| Context | 16K tokens |
| Best For | Simple chatbots, basic text generation |
| Benchmark | 40/100 |
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 | GPT-3.5 Turbo | Stable LM 2 | Savings |
|---|---|---|---|
| Small Script (1K lines) | $0.06 | $0.02 | Stable LM 2 saves $0.05 (75%) |
| Medium Feature (10K lines) | $0.48 | $0.12 | Stable LM 2 saves $0.36 (76%) |
| Large Project (50K lines) | $2.38 | $0.58 | Stable LM 2 saves $1.80 (76%) |
| Code Review (5K lines) | $0.13 | $0.03 | Stable LM 2 saves $0.10 (78%) |
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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