Model comparison
Gemini 3 Pro vs Llama 4 Maverick
Head-to-head evidence from 13 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemini 3 Pro #19 (Supported); Llama 4 Maverick #191 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemini 3 Pro and Llama 4 Maverick share 13 comparable benchmark results. 1 of 8 categories are comparable. 14 results are unique to Gemini 3 Pro; 5 to Llama 4 Maverick.
Updated July 22, 2026- Shared results
- 13
- Gemini 3 Pro only
- 14
- Llama 4 Maverick only
- 5
- Comparable categories
- 1 / 8
Pick Gemini 3 Pro if you want the stronger benchmark profile. Llama 4 Maverick only becomes the better choice if you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 13 shared benchmark results across 7 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Gemini 3 Pro is clearly ahead on the BenchAlign aggregate, 67.73 to 23.49. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 3 Pro's sharpest advantage is in mathematics, where it averages 32.9 against 0.7. The single biggest benchmark swing on the page is FrontierMath v2 (Tiers 1-3), 37.600% to 0.690%.
Gemini 3 Pro is also the more expensive model on tokens at $2.00 input / $12.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Llama 4 Maverick. That is roughly Infinityx on output cost alone. Gemini 3 Pro gives you the larger context window at 2M, compared with 1M for Llama 4 Maverick.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | Gemini 3 Pro | Δ | Llama 4 Maverick |
|---|---|---|---|
| Math | Gemini 3 Pro32.9 | Margin← 32.2 | Llama 4 Maverick0.7 |
| Reasoning | Gemini 3 Pro31.1 | MarginNo overlap | Llama 4 MaverickNot measured |
| Multimodal | Gemini 3 Pro81.1 | MarginNo overlap | Llama 4 MaverickNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
FrontierMath v2 (Tiers 1-3)
MathA 37.600%B 0.690%Winner: Gemini 3 ProΔ 36.9FrontierMath v2 (Tiers 1-3): Gemini 3 Pro scored 37.600%; Llama 4 Maverick scored 0.690%. Gemini 3 Pro wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemini 3 Pro | Llama 4 Maverick | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemini 3 Pro$2 input / $12 output | Llama 4 Maverick$0 input / $0 output | Llama 4 Maverick has the lower combined listed price. |
| Generation speedtokens per second | Gemini 3 Pro109 tok/s | Llama 4 Maverick121 tok/s | Llama 4 Maverick has the higher measured throughput. |
| First-answer latencyseconds to first token | Gemini 3 Pro32.65 s | Llama 4 Maverick0.95 s | Llama 4 Maverick reaches the first token sooner. |
| Context windowmaximum listed tokens | Gemini 3 Pro2M | Llama 4 Maverick1M | Gemini 3 Pro lists the larger context window. |
Benchmark Deep Dive
Agentic6 benchmarks
Coding4 benchmarks
Reasoning3 benchmarks
Knowledge7 benchmarks
| Benchmark | Gemini 3 Pro | Llama 4 Maverick | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 39.5% | 14.3% | Gemini 3 Pro leads |
| AA-GPQA DiamondSource | 90.8% | 67.1% | Gemini 3 Pro leads |
| AA-HLESource | 37.2% | 4.8% | Gemini 3 Pro leads |
| AA-Omniscience IndexSource | 15.8% | -41.8% | Gemini 3 Pro leads |
| AA-Omniscience AccuracySource | 55.9% | 24.3% | Gemini 3 Pro leads |
| AA-Omniscience Hallucination RateSource | 90.9% | 87.3% | Llama 4 Maverick leads |
| AA MMLU-ProSource | 89.8% | — | Not comparable |
MathGemini 3 Pro wins2 benchmarks
Multilingual1 benchmarks
| Benchmark | Gemini 3 Pro | Llama 4 Maverick | Result |
|---|---|---|---|
| AA Global-MMLU-LiteSource | 92.2% | — | Not comparable |
Multimodal8 benchmarks
| Benchmark | Gemini 3 Pro | Llama 4 Maverick | Result |
|---|---|---|---|
| MMMU-ProSource | 81% | — | Not comparable |
| MathVisionSource | 86.6% | — | Not comparable |
| VideoMMMUSource | 87.6% | — | Not comparable |
| ScreenSpot ProSource | 72.7% | — | Not comparable |
| CharXivSource | 81.4% | — | Not comparable |
| V*Source | 88.0% | — | Not comparable |
| AA-MMMU-ProSource | 80.2% | 62.1% | Gemini 3 Pro leads |
| Design Arena WebsiteSource | — | 901 | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Gemini 3 Pro | Llama 4 Maverick | Result |
|---|---|---|---|
| AA-IFBenchSource | 70.4% | 43.0% | Gemini 3 Pro leads |
Frequently Asked Questions (2)
Which is better, Gemini 3 Pro or Llama 4 Maverick?
Gemini 3 Pro is ahead on BenchLM's BenchAlign leaderboard, 67.73 to 23.49. The biggest single separator in this matchup is FrontierMath v2 (Tiers 1-3), where the scores are 37.600% and 0.690%.
Which is better for math, Gemini 3 Pro or Llama 4 Maverick?
Gemini 3 Pro has the edge for math in this comparison, averaging 32.9 versus 0.7. Inside this category, FrontierMath v2 (Tiers 1-3) is the benchmark that creates the most daylight between them.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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