Model Comparison
GPT-4o mini Realtime (Dec '24)
vs. Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort)
Comparing 2 AI models · 7 benchmarks · OpenAI, Anthropic
Recommended Pick
OpGPT-4o mini Realtime (Dec '24)4 metric winsStrongest on: Input price, Output price, TTFT
Lowest Price
GPT-4o mini Realtime (Dec '24)
$0.00/1M input price
Best for Coding
Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort)
63.0 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-4o mini Realtime (Dec '24) is ∞x cheaper on input tokens than Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort).
Top-pick rationale
GPT-4o mini Realtime (Dec '24) 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-4o mini Realtime (Dec '24)
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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Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort)
Anthropic
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-4o mini Realtime (Dec '24) | An Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $3.00/1M |
| Output Cost | $0.00/1M | $15.00/1M |
| Blended (3:1) | — | $6.00/1M |
| Specifications | ||
| Organization | OpenAI | Anthropic |
| Release Date | Dec 17, 2024 | Feb 17, 2026 |
| Performance & Speed | ||
| Throughput | — | 77.1 tok/s |
| TTFT | — | 74365ms |
| Latency | — | 74365ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | — | 54.9 |
| Intelligence | — | 47.2 |
| Coding | — | 63.0 |
| Standard Benchmarks | ||
| GPQA | — | 87.5% |
| HLE | — | 30.0% |
| SciCode | — | 46.8% |
| LCR | — | 70.7% |
| IFBench | — | 56.6% |
| TAU-bench v2 | — | 75.7% |
| TerminalBench Hard | — | 53.0% |
Key Takeaways
GPT-4o mini Realtime (Dec '24) offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) reaches a 63.0 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-4o mini Realtime (Dec '24)
- Cost-sensitive applications
- High-volume processing
Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort)
- Code generation
- Software development
