GPT-5.5 Pro OpenAI 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.090000
Output: $0.090000
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 500,000 input tokens and 2,000 output tokens:
- Input Cost: $3.750000
- Output Cost: $0.090000
- Total Cost: $3.840000
- Cost per 1K tokens: $0.007649 (rounded ~ $0.01)
- Tokens per dollar: 130,729 tokens
- Context Window: 1000000 tokens
Speed & Performance Analysis
With a processing speed of 340 tokens per second and 260ms time to first token:
- Processing Time: 25 minutes, 6.18 seconds
- Latency: 260 milliseconds to first token
- Base Throughput: 340 tokens/second
- Effective Throughput: 333 tokens/second (temperature-adjusted)
Best Use Cases
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← Back to GPT-5.5 Pro| Rank | AI Model & Provider | Total Cost | vs GPT-5.5 Pro |
|---|---|---|---|
| 🏆 |
Gemini 3.1 Flash Lite
Google
|
$0.009500 Best Value | ↓ 99.8% cheaper |
| 🥈 |
Gemini 2.5 Flash
Google
|
$0.011750 (rounded ~ $0.01) | ↓ 99.7% cheaper |
| 🥉 |
Grok 4.3
xAI
|
$0.045000 (rounded ~ $0.05) | ↓ 98.8% cheaper |
| #4 |
Gemini 3.5 Flash
Google
|
$0.057000 (rounded ~ $0.06) | ↓ 98.5% cheaper |
| #5 |
Grok 4.20 Beta
xAI
|
$0.073000 (rounded ~ $0.07) | ↓ 98.1% cheaper |
| #6 |
Gemini 3.1 Flash
Google
|
$0.076000 (rounded ~ $0.08) | ↓ 98% cheaper |
| #7 |
Claude Sonnet 4.6
Anthropic
|
$0.112500 (rounded ~ $0.11) | ↓ 97.1% cheaper |
| #8 |
Claude Opus 4.7
Anthropic
|
$0.187500 (rounded ~ $0.19) | ↓ 95.1% cheaper |
| #9 |
Claude Opus 4.8
Anthropic
|
$0.187500 (rounded ~ $0.19) | ↓ 95.1% cheaper |
| #10 |
Claude Opus 4.6
Anthropic
|
$0.187500 (rounded ~ $0.19) | ↓ 95.1% cheaper |
| #11 |
Gemini 2.5 Pro
Google
|
$0.190000 | ↓ 95.1% cheaper |
| #12 |
Gemini 3.1 Pro
Google
|
$0.298000 (rounded ~ $0.30) | ↓ 92.2% cheaper |
| #13 |
GPT-5.4
OpenAI
|
$0.372500 (rounded ~ $0.37) | ↓ 90.3% cheaper |
| #14 |
GPT-5.4 Thinking
OpenAI
|
$0.372500 (rounded ~ $0.37) | ↓ 90.3% cheaper |
| #15 |
GPT-5.5
OpenAI
|
$0.745000 (rounded ~ $0.75) | ↓ 80.6% cheaper |
| #16 |
GPT-5.5
OpenAI
|
$0.745000 (rounded ~ $0.75) | ↓ 80.6% cheaper |
Gemini 3.1 Flash Lite Google
Gemini 2.5 Flash Google
Grok 4.3 xAI
Gemini 3.5 Flash Google
Grok 4.20 Beta xAI
Gemini 3.1 Flash Google
Claude Sonnet 4.6 Anthropic
Claude Opus 4.7 Anthropic
Claude Opus 4.8 Anthropic
Claude Opus 4.6 Anthropic
Gemini 2.5 Pro Google
Gemini 3.1 Pro Google
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
GPT-5.5 OpenAI
GPT-5.5 OpenAI
Scaling Global Translation Pipelines
For indie game developers managing product catalogs in 12+ languages, the choice of language model hinges on linguistic nuance and instruction following. GPT-5.5 Pro is engineered for high-stakes, large-context tasks, making it a robust candidate for enterprise-scale translation pipelines where maintaining consistent terminology across thousands of SKUs is non-negotiable.
When processing 500,000 tokens per batch, the model’s ability to leverage reasoning capabilities ensures that cultural idioms and game-specific jargon are handled with higher accuracy than standard zero-shot translation. This depth is critical for consistency in creative assets like dialogue, quest descriptions, and item lore. However, developers must weigh the latency requirements of in-game generation against the model’s high-reasoning overhead. For latency-sensitive paths, consider if the depth provided here is required for every request or if it can be reserved for baseline catalog generation.
The system’s architecture supports complex instruction sets, meaning you can pass entire style guides, glossary definitions, and character backstories in the context window to ensure the output remains on-brand. For teams operating at this volume, the primary value lies in reducing the need for post-translation human review, shifting the workload from manual editing to intelligent automation. This model is best suited for teams prioritizing output quality and strict adherence to complex stylistic constraints in multi-language environments.