Model Benchmark2026-05-05·20 min·PromptShelf Team

2026 Multi-Model Benchmark: GPT-4o vs Claude vs DeepSeek

Systematic evaluation of 6 models across 5 real business scenarios covering quality, latency, cost, and reliability.

Model BenchmarkGPT-4oClaudeDeepSeek

Test Methodology

We evaluated 6 models across 5 real business scenarios with 50 test cases each:

ModelInput Cost (per 1M)Output Cost (per 1M)Context

|---|---|---|---|

DeepSeek V4 Flash$0.14$0.281MGPT-4o Mini$0.15$0.60128KGPT-4o$2.50$10.00128KClaude Sonnet 4$3.00$15.00200KClaude Haiku$0.25$1.25200K

Results Summary

ScenarioBest QualityBest ValueBest Speed

|---|---|---|---|

Email classificationClaude Sonnet (97)DeepSeek V4 (94, 1/20 cost)GPT-4o Mini (380ms)Code reviewGPT-4o (95)DeepSeek V4 (88, 1/9 cost)DeepSeek V4 (920ms)Content writingClaude Sonnet (96)DeepSeek V4 (91, 1/15 cost)GPT-4o Mini (450ms)Data analysisGPT-4o (93)DeepSeek V4 (89, 1/10 cost)DeepSeek V4 (1100ms)Customer supportDeepSeek V4 (92)DeepSeek V4 (best)DeepSeek V4 (850ms)

Key Findings

1. **DeepSeek V4 wins on value**: 85-95% of GPT-4o quality at 1/9 to 1/20 the cost

2. **Claude Sonnet best for nuanced tasks**: Highest quality on creative writing and analysis

3. **GPT-4o Mini is the speed king**: Fastest response times across all scenarios

4. **Model routing saves 50-70%**: Using cheap models for simple tasks, expensive for complex ones

Recommendation

Use DeepSeek V4 as your default model. Route to GPT-4o or Claude only for tasks requiring the highest quality. This approach typically saves 50-70% while maintaining quality.