Model Comparison
GPT-4 Turbo
vs. 3.5 (1210)
Comparing 2 AI models · 7 benchmarks · OpenAI, OpenChat
Recommended Pick
Op GPT-4 Turbo 7 metric wins Strongest on: Throughput, Reasoning, Intelligence
Lowest Price
3.5 (1210)
$0.00/1M input price
Best Reasoning
GPT-4 Turbo
26.4 reasoning score
Blends available reasoning benchmarks
Best for Coding
GPT-4 Turbo
21.5 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Price gap
3.5 (1210) is ∞x cheaper on input tokens than GPT-4 Turbo.
Reasoning gap
GPT-4 Turbo leads 3.5 (1210) by 13.1 points on reasoning.
Top-pick rationale
GPT-4 Turbo wins 7 measurable categories, including Throughput, Reasoning, Intelligence, MMLU Pro.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GPT-4 Turbo
OpenAI
TTFT
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Time
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tok/s
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Tokens
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Cost
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3.5 (1210)
OpenChat
TTFT
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Time
—
tok/s
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Tokens
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Cost
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Which answer was more useful?
Full Comparison
| Metric | Top Pick Op GPT-4 Turbo | Op 3.5 (1210) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $10.00/1M | $0.00/1M |
| Output Cost | $30.00/1M | $0.00/1M |
| Blended (3:1) | $15.00/1M | — |
| Specifications | ||
| Organization | OpenAI | OpenChat |
| Release Date | Nov 6, 2023 | Dec 18, 2023 |
| Performance & Speed | ||
| Throughput | 29.8 tok/s | — |
| TTFT | 1634ms | — |
| Latency | 1634ms | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 26.4 | 13.4 |
| Intelligence | 13.7 | 8.3 |
| Coding | 21.5 | — |
| Standard Benchmarks | ||
| GPQA | — | 23.0% |
| MMLU Pro | 69.4% | 31.0% |
| HLE | 3.3% | 4.8% |
| LiveCodeBench | 29.1% | 11.5% |
| MATH 500 | 73.7% | 30.7% |
| AIME (Original) | 15.0% | 0.0% |
| SciCode | 31.9% | — |
Key Takeaways
3.5 (1210) offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
GPT-4 Turbo has the strongest reasoning profile with a 26.4 reasoning score, combining the available reasoning-heavy benchmarks.
GPT-4 Turbo reaches a 21.5 coding index, making it the top choice for software development and code generation tasks.
All models support context windows of ∞+ tokens, suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
GPT-4 Turbo
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
3.5 (1210)
- Cost-sensitive applications
- High-volume processing
