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Gemini 3.8 Flash (Medium)

Benchmark scores, pricing, speed and comparisons for Gemini 3.8 Flash (Medium).

Key scores

Intelligence39.8Index score
Coding74.1Index score

Gemini 3.8 Flash (medium) is an artificial intelligence model developed by Google and released on September 2, 2026. This model is evaluated across several performance metrics, achieving an intelligence index of 56.6 and a coding index of 74.1. Benchmark results for the model include a GPQA score of 0.935, an HLE score of 0.421, a SciCode score of 0.544, and an LCR score of 0.82. Regarding cost, the model is priced at $0.75 per million tokens for input and $3.75 per million tokens for output, resulting in a blended rate of $1.50 per million tokens. Specific data regarding math capabilities, output speed, and time to first token remain currently unknown for this release.

No benchmark data available for this model.

Comparisons with Gemini 3.8 Flash (Medium)

Generated Franklin AI comparison pages for this model.

Model ComparisonGemini 3.8 Flash vs. Claude Fable 5.1: A Comparative AnalysisThis analysis compares Google’s Gemini 3.8 Flash and Anthropic’s Claude Fable 5.1. While Gemini 3.8 Flash offers a highly cost-effective solution for high-volume tasks, Claude Fable 5.1 provides superior reasoning and coModel ComparisonGemini 3.8 Flash vs. Qwen3.8 2.4T A95B: A Comparative AnalysisThis analysis compares Google’s Gemini 3.8 Flash and Alibaba’s Qwen3.8 2.4T A95B. While both models offer competitive performance, they diverge significantly in pricing structures and operational transparency, forcing a