Model Comparison
GPT-3.5 Turbo (0613)
vs. Gemini 3.1 Pro Preview
Comparing 2 AI models · 7 benchmarks · OpenAI, Google
Recommended Pick
Op GPT-3.5 Turbo (0613) 4 metric wins Strongest on: Input price, Output price, TTFT
Lowest Price
GPT-3.5 Turbo (0613)
$0.00/1M input price
Best for Coding
Gemini 3.1 Pro Preview
68.8 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
GPT-3.5 Turbo (0613) is ∞x cheaper on input tokens than Gemini 3.1 Pro Preview.
Top-pick rationale
GPT-3.5 Turbo (0613) wins 4 measurable categories, including Input price, Output price, TTFT, Latency.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GPT-3.5 Turbo (0613)
OpenAI
TTFT
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Time
—
tok/s
—
Tokens
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Cost
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Gemini 3.1 Pro Preview
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
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Which answer was more useful?
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Full Comparison
| Metric | Top Pick Op GPT-3.5 Turbo (0613) | Go Gemini 3.1 Pro Preview |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $2.00/1M |
| Output Cost | $0.00/1M | $12.00/1M |
| Blended (3:1) | — | $4.50/1M |
| Specifications | ||
| Organization | OpenAI | |
| Release Date | Jun 13, 2023 | Feb 19, 2026 |
| Performance & Speed | ||
| Throughput | — | 145.0 tok/s |
| TTFT | — | 32387ms |
| Latency | — | 32387ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | — | 61.8 |
| Intelligence | — | 46.5 |
| Coding | — | 68.8 |
| Standard Benchmarks | ||
| GPQA | — | 94.1% |
| HLE | — | 44.7% |
| SciCode | — | 58.9% |
| LCR | — | 72.7% |
| IFBench | — | 77.1% |
| TAU-bench v2 | — | 95.6% |
| TerminalBench Hard | — | 53.8% |
Key Takeaways
GPT-3.5 Turbo (0613) offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
Gemini 3.1 Pro Preview reaches a 68.8 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-3.5 Turbo (0613)
- Cost-sensitive applications
- High-volume processing
Gemini 3.1 Pro Preview
- Code generation
- Software development
