Claude Opus 5.5 vs Gemini 4 Argon
Compare Claude Opus 5.5 vs Gemini 4 Argon API pricing, token costs, context windows, and latency. See which model is cheaper and better for your stack.
Claude Opus 5.5 charges $4.00/1M input and $20.00/1M output tokens, compared to Gemini 4 Argon at $4.00/1M input and $20.00/1M output. Claude Opus 5.5 is 1.0x cheaper on input tokens. In reasoning benchmarks, Claude Opus 5.5 holds the higher AA Intelligence Index rating (59/100). For latency-critical streaming, Claude Opus 5.5 delivers 112 t/s (351.0s TTFT) while Gemini 4 Argon provides 56 t/s (38.0s TTFT).
Full Metric & Specification Comparison
| Metric | Claude Opus 5.5 | Gemini 4 Argon | Advantage |
|---|---|---|---|
| Provider | Anthropic | - | |
| Input Token Cost (1M) | $4.000 | $4.000 | Tie |
| Output Token Cost (1M) | $20.000 | $20.000 | Tie |
| Context Window | 1,000k tokens | 1,000k tokens | Tie |
| AA Intelligence Index | 59/100 | 50/100 | Claude Opus 5.5 |
| Streaming Latency | Fast | Moderate | - |
Key Architectural Takeaways
- Input Token Cost: Claude Opus 5.5 is $4.00/1M vs Gemini 4 Argon at $4.00/1M
- Output Token Cost: Claude Opus 5.5 is $20.00/1M vs Gemini 4 Argon at $20.00/1M
- Context Window: Claude Opus 5.5 supports 1,000k tokens vs Gemini 4 Argon with 1,000k tokens
- Benchmark Intelligence Rating: Claude Opus 5.5 scores 59/100 vs Gemini 4 Argon at 50/100 (AA Index v5)
- Inference Latency: Claude Opus 5.5 is rated Fast vs Gemini 4 Argon rated Moderate
Calculate Your Team's Exact Bill Difference
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Frequently Asked Questions
Is Claude Opus 5.5 cheaper than Gemini 4 Argon?
Claude Opus 5.5 is significantly more economical, charging $4.00/1M input compared to $4.00/1M for Gemini 4 Argon.
Which model should I choose for production?
If your primary constraint is API cost and high query throughput, choose Claude Opus 5.5. If you require peak reasoning accuracy and complex tool use, Claude Opus 5.5 is recommended.
How does context window compare between Claude Opus 5.5 and Gemini 4 Argon?
Claude Opus 5.5 offers the larger context window (1,000k tokens), allowing you to pass significantly larger codebases or documents without chunking.
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