Model Comparison
Claude Opus 4.7 (Max)
vs. Gemini 4 Carbon (Medium)
Claude Opus 4.7 (Max) has not been available at LLMBase since 26 October 2026. Open alternative: DeepSeek V4 Pro →
Comparing 2 AI models · 0 benchmarks · Anthropic, Google
Recommended Pick
GoGemini 4 Carbon (Medium)4 metric winsStrongest on: Input price, Output price, Blended price
Lowest Price
Gemini 4 Carbon (Medium)
$4.00/1M input price
Differences That Matter
Price gap
Gemini 4 Carbon (Medium) is 1.3x cheaper on input tokens than Claude Opus 4.7 (Max).
Speed gap
Gemini 4 Carbon (Medium) generates about 1.8x as many tokens per second as Claude Opus 4.7 (Max).
Top-pick rationale
Gemini 4 Carbon (Medium) wins 4 measurable categories, including Input price, Output price, Blended price, Throughput.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Claude Opus 4.7 (Max)
Anthropic
TTFT
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Time
—
tok/s
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Tokens
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Cost
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Gemini 4 Carbon (Medium)
TTFT
—
Time
—
tok/s
—
Tokens
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Cost
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Which answer was more useful?
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Full Comparison
| Metric | An Claude Opus 4.7 (Max) | Top Pick Go Gemini 4 Carbon (Medium) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $5.00/1M | $4.00/1M |
| Output Cost | $25.00/1M | $20.00/1M |
| Blended (3:1) | $10.00/1M | $8.00/1M |
| Specifications | ||
| Organization | Anthropic | |
| Release Date | Apr 16, 2026 | Oct 28, 2026 |
| Performance & Speed | ||
| Throughput | 52.2 tok/s | 91.5 tok/s |
| TTFT | 27880ms | 27960ms |
| Latency | 27880ms | 27960ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | — | 57.7 |
| Intelligence | — | 57.7 |
Key Takeaways
Gemini 4 Carbon (Medium) offers the best value at $4.00/1M,making it ideal for high-volume applications and cost-conscious projects.
All models support context windows of ∞+ tokens,suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
Claude Opus 4.7 (Max)
- General-purpose AI
- Versatile applications
Gemini 4 Carbon (Medium)
- Cost-sensitive applications
- High-volume processing
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