Model Comparison
Gemini 4 Argon (High)
vs. GPT-6.1 Terra (Low)
Comparing 2 AI models · 0 benchmarks · Google, OpenAI
Recommended Pick
OpGPT-6.1 Terra (Low)6 metric winsStrongest on: Value, Input price, Output price
Best Value
GPT-6.1 Terra (Low)
100.0 value score
29.4 reasoning / $2.00/1M
Lowest Price
GPT-6.1 Terra (Low)
$1.00/1M input price
Best Reasoning
Gemini 4 Argon (High)
50.4 reasoning score
Blends available reasoning benchmarks
Differences That Matter
Best value
GPT-6.1 Terra (Low) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
GPT-6.1 Terra (Low) is 4.0x cheaper on input tokens than Gemini 4 Argon (High).
Speed gap
Gemini 4 Argon (High) generates about 1.1x as many tokens per second as GPT-6.1 Terra (Low).
Reasoning gap
Gemini 4 Argon (High) leads GPT-6.1 Terra (Low) by 21.0 points on reasoning.
Top-pick rationale
GPT-6.1 Terra (Low) wins 6 measurable categories, including Value, Input price, Output price, Blended price.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Gemini 4 Argon (High)
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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GPT-6.1 Terra (Low)
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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Which answer was more useful?
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Full Comparison
| Metric | Go Gemini 4 Argon (High) | Top Pick Op GPT-6.1 Terra (Low) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $4.00/1M | $1.00/1M |
| Output Cost | $20.00/1M | $5.00/1M |
| Blended (3:1) | $8.00/1M | $2.00/1M |
| Specifications | ||
| Organization | OpenAI | |
| Release Date | Sep 30, 2026 | Oct 26, 2026 |
| Performance & Speed | ||
| Throughput | 86.3 tok/s | 76.5 tok/s |
| TTFT | 59800ms | 1470ms |
| Latency | 59800ms | 1470ms |
| Composite Indices | ||
| Value Score | 42.9 | 100.0 |
| Reasoning Score | 50.4 | 29.4 |
| Intelligence | 50.4 | 29.4 |
Key Takeaways
GPT-6.1 Terra (Low) offers the best value at $1.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Gemini 4 Argon (High) has the strongest reasoning profile with a 50.4 reasoning score,combining the available reasoning-heavy benchmarks.
All models support context windows of ∞+ tokens,suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
Gemini 4 Argon (High)
- Complex reasoning tasks
- Research & analysis
GPT-6.1 Terra (Low)
- Cost-sensitive applications
- High-volume processing
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