Compare Gemini 4 Argon from Google and GPT-6 Luna from OpenAI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the OpenRouter API.
Gemini 4 Argon and GPT-6 Luna are available through the OpenRouter API, so switching between them takes a model slug change rather than a new integration.
Gemini 4 Argon, from Google, has a 1,048,576-token context window and is priced at $2/M tokens input, $10/M tokens output on OpenRouter.
GPT-6 Luna, from OpenAI, has a 1,050,000-token context window and is priced at $0.10/M tokens input, $0.50/M tokens output on OpenRouter.
| Attribute | Gemini 4 Argon | GPT-6 Luna |
|---|---|---|
| Input price | $2/M tokens | $0.10/M tokens |
| Output price | $10/M tokens | $0.50/M tokens |
| Context window | 1,048,576 tokens | 1,050,000 tokens |
| Intelligence Index | 52.6 | 38.1 |
| Coding Index | Not available | Not available |
| Agentic Index | Not available | Not available |
| Latency (p50) | 4.52 s | 8.23 s |
| Throughput (p50) | 43.0 tok/s | 28.0 tok/s |
Benchmark data updated
GPT-6 Luna has the longer context window at 1,050,000 tokens, compared with 1,048,576 tokens for Gemini 4 Argon.
Gemini 4 Argon is faster on OpenRouter, generating a median 43.0 tokens per second compared with 28.0 tokens per second for GPT-6 Luna.