Model Comparison
Gemini 2.0 Flash Thinking Experimental (Jan '25)
vs. Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort)
Comparing 2 AI models · 11 benchmarks · Google, Anthropic
Recommended Pick
AnClaude Sonnet 4.6 (Adaptive Reasoning, Max Effort)7 metric winsStrongest on: Throughput, Reasoning, Intelligence
Lowest Price
Gemini 2.0 Flash Thinking Experimental (Jan '25)
$0.00/1M input price
Best Reasoning
Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort)
54.9 reasoning score
Blends available reasoning benchmarks
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
Gemini 2.0 Flash Thinking Experimental (Jan '25) is ∞x cheaper on input tokens than Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort).
Reasoning gap
Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) leads Gemini 2.0 Flash Thinking Experimental (Jan '25) by 7.9 points on reasoning.
Coding gap
Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) leads Gemini 2.0 Flash Thinking Experimental (Jan '25) by 38.9 points on coding.
Top-pick rationale
Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) wins 7 measurable categories, including Throughput, Reasoning, Intelligence, Coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Gemini 2.0 Flash Thinking Experimental (Jan '25)
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
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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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Which answer was more useful?
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Full Comparison
| Metric | Go Gemini 2.0 Flash Thinking Experimental (Jan '25) | Top Pick 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 | Anthropic | |
| Release Date | Jan 21, 2025 | Feb 17, 2026 |
| Performance & Speed | ||
| Throughput | — | 71.5 tok/s |
| TTFT | — | 84306ms |
| Latency | — | 84306ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 47.0 | 54.9 |
| Intelligence | 13.3 | 47.2 |
| Coding | 24.1 | 63.0 |
| Standard Benchmarks | ||
| GPQA | 70.1% | 87.5% |
| MMLU Pro | 79.8% | — |
| HLE | 7.1% | 30.0% |
| LiveCodeBench | 32.1% | — |
| MATH 500 | 94.4% | — |
| AIME (Original) | 50.0% | — |
| SciCode | 32.9% | 46.8% |
| LCR | — | 70.7% |
| IFBench | — | 56.6% |
| TAU-bench v2 | — | 75.7% |
| TerminalBench Hard | — | 53.0% |
Key Takeaways
Gemini 2.0 Flash Thinking Experimental (Jan '25) 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) has the strongest reasoning profile with a 54.9 reasoning score,combining the available reasoning-heavy benchmarks.
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
Gemini 2.0 Flash Thinking Experimental (Jan '25)
- Cost-sensitive applications
- High-volume processing
Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
