Model Comparison
Claude Sonnet 4.6 (Non-reasoning, Low Effort)
vs. Gemma 3 1B Instruct
Comparing 2 AI models · 12 benchmarks · Anthropic, Google
Recommended Pick
An Claude Sonnet 4.6 (Non-reasoning, Low Effort) 11 metric wins Strongest on: Throughput, Reasoning, Intelligence
Lowest Price
Gemma 3 1B Instruct
$0.00/1M input price
Best Reasoning
Claude Sonnet 4.6 (Non-reasoning, Low Effort)
44.4 reasoning score
Blends available reasoning benchmarks
Best for Coding
Claude Sonnet 4.6 (Non-reasoning, Low Effort)
43.0 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
Gemma 3 1B Instruct is ∞x cheaper on input tokens than Claude Sonnet 4.6 (Non-reasoning, Low Effort).
Reasoning gap
Claude Sonnet 4.6 (Non-reasoning, Low Effort) leads Gemma 3 1B Instruct by 31.6 points on reasoning.
Coding gap
Claude Sonnet 4.6 (Non-reasoning, Low Effort) leads Gemma 3 1B Instruct by 42.8 points on coding.
Top-pick rationale
Claude Sonnet 4.6 (Non-reasoning, Low Effort) wins 11 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.
Claude Sonnet 4.6 (Non-reasoning, Low 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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Gemma 3 1B Instruct
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?
Full Comparison
| Metric | Top Pick An Claude Sonnet 4.6 (Non-reasoning, Low Effort) | Go Gemma 3 1B Instruct |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $3.75/1M | $0.00/1M |
| Output Cost | $15.00/1M | $0.00/1M |
| Blended (3:1) | $6.56/1M | — |
| Specifications | ||
| Organization | Anthropic | |
| Release Date | Feb 17, 2026 | Mar 13, 2025 |
| Performance & Speed | ||
| Throughput | 61.7 tok/s | — |
| TTFT | 1053ms | — |
| Latency | 1053ms | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 44.4 | 12.8 |
| Intelligence | 42.6 | 5.6 |
| Coding | 43.0 | 0.2 |
| Math | — | 3.3 |
| Standard Benchmarks | ||
| GPQA | 79.7% | 23.7% |
| MMLU Pro | — | 13.5% |
| HLE | 10.8% | 5.2% |
| LiveCodeBench | — | 1.7% |
| MATH 500 | — | 48.4% |
| AIME 2025 | — | 3.3% |
| AIME (Original) | — | 0.0% |
| SciCode | 44.1% | 0.7% |
| LCR | 58.7% | 0.0% |
| IFBench | 42.4% | 19.9% |
| TAU-bench v2 | 78.9% | 10.5% |
| TerminalBench Hard | 42.4% | 0.0% |
Key Takeaways
Gemma 3 1B Instruct offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
Claude Sonnet 4.6 (Non-reasoning, Low Effort) has the strongest reasoning profile with a 44.4 reasoning score, combining the available reasoning-heavy benchmarks.
Claude Sonnet 4.6 (Non-reasoning, Low Effort) reaches a 43.0 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
Claude Sonnet 4.6 (Non-reasoning, Low Effort)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Gemma 3 1B Instruct
- Cost-sensitive applications
- High-volume processing
