DeepSeek Chat V3 vs Stable LM 2
Performance benchmarks + pricing comparison — updated April 2026
DeepSeek Chat V3
DeepSeekVery affordable general-purpose model from DeepSeek. Strong coding and reasoning at low cost.
| Input | $0.270/M |
| Output | $1.10/M |
| Context | 128K tokens |
| Best For | Cost-sensitive projects, coding, general tasks |
| Benchmark | 62/100 |
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 | DeepSeek Chat V3 | Stable LM 2 | Savings |
|---|---|---|---|
| Small Script (1K lines) | $0.04 | $0.02 | Stable LM 2 saves $0.03 (63%) |
| Medium Feature (10K lines) | $0.31 | $0.12 | Stable LM 2 saves $0.20 (63%) |
| Large Project (50K lines) | $1.57 | $0.58 | Stable LM 2 saves $1.00 (63%) |
| Code Review (5K lines) | $0.07 | $0.03 | Stable LM 2 saves $0.05 (63%) |
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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Claude Opus 4
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Claude 3.5 Sonnet
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Claude 3.5 Haiku
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Claude 3 Opus
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Claude 3 Sonnet
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