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VECTOR WIREAI INTELLIGENCE
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Gemini 2.5 Flash vs Llama 4 Maverick 17B 128E Instruct FP8

Google · released

Wins 0 of 1 area

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Meta · released

Wins 0 of 1 area

—

The two are evenly matched.

Scores updated · 10 tests both models report · How we compare

Where each one wins

Tests won in each of the one area where both have results. Each piece is one test, so a longer bar means more evidence; grey means the two scored within a point of each other.

Facts rests on a single test.

What it costs

Prices per million tokens, roughly 750,000 words. The bars show the cost of a million tokens read plus a million written.

Gemini 2.5 Flash$0.30 to read · $2.50 to write$2.80Price from Artificial Analysis
Llama 4 Maverick 17B 128E Instruct FP8$0.27 to read · $0.85 to write$1.12Price from novita

Llama 4 Maverick 17B 128E Instruct FP8 costs 60% less for the same work.

Every test, side by side

All 10 tests both models report. The winning score is in its model's colour; marks a score checked independently.

FactsEven

Full facts ranking

Other results9 tests, not counted

Tests outside the eight areas. They are not counted above: several are summary scores built from other tests, or the same test under another name.

Questions people ask

Which is better, Gemini 2.5 Flash or Llama 4 Maverick 17B 128E Instruct FP8?

Neither wins more tests than the other in any of the one area where both have results. Llama 4 Maverick 17B 128E Instruct FP8 costs 60% less.

Which is cheaper?

Gemini 2.5 Flash costs $0.30 per million input tokens and $2.50 per million output tokens; Llama 4 Maverick 17B 128E Instruct FP8 costs $0.27 and $0.85. That makes Llama 4 Maverick 17B 128E Instruct FP8 about 60% cheaper for the same work.

How do you compare the two?

We use the 10 benchmark tests both models have published scores on. The verdict counts the 1 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 9 are listed but not counted, because several are summary scores or repeat a test. Each score is the one shown on the model's own page.