Compare the listed model data for Llama 4 Maverick 17B FP8 (128 Experts) by Meta Llama and Gemma 4 318B by Google. Benchmark and pricing records are not a controlled test and may change.
Data last updated: 2026-10-16. Verify current model details with each provider.
What the listed data says
Llama 4 Maverick 17B FP8 (128 Experts): 1M tokens; Gemma 4 318B: 1M tokens. The listed context-window values are equal. Llama 4 Maverick 17B FP8 (128 Experts) is listed for coding, reasoning, vision, multimodal input, agentic workflows, long-context tasks; Gemma 4 318B is listed for coding, reasoning, vision, multimodal input, long-context tasks. Shared catalog benchmark entries: MMLU: Llama 4 Maverick 17B FP8 (128 Experts) 85.5%; Gemma 4 318B 87.2%; HumanEval: Llama 4 Maverick 17B FP8 (128 Experts) 88.0%; Gemma 4 318B 85.8%; DocVQA: Llama 4 Maverick 17B FP8 (128 Experts) 91.6%; Gemma 4 318B 93.1%. These records are reference data, not a controlled head-to-head test; verify current pricing and specifications with each provider.
Catalog source links
Use these model and provider links to verify current specifications, pricing, and availability.
The first listed parameter quantities are 17B active / 128 experts (400B+ total) and 318B; the larger quantity is 18.71× the smaller. Total and active MoE parameters are not directly equivalent.
The catalog release dates are April 2025 and June 2025, about 2 months apart at the precision supplied.
Cost example: 1M input and 1M output tokens
A cost example for 1M input plus 1M output tokens cannot be calculated reliably because separate numeric input and output rates are not listed for both models.
Choose Llama 4 Maverick 17B FP8 (128 Experts) if…
Choose Llama 4 Maverick 17B FP8 (128 Experts) when your task aligns with catalog-listed uses or strengths such as Long-document processing: entire legal contracts, technical books, large codebases, Multimodal enterprise workflows: visual document analysis, chart interpretation, RAG systems needing very long context windows, 1 million token context — processes entire books or large codebases in one session.
Choose Gemma 4 318B if…
Choose Gemma 4 318B when your task aligns with catalog-listed uses or strengths such as Enterprise multimodal AI requiring Google-grade quality, Long-document visual analysis: PDF, charts, slides, Multilingual enterprise AI serving global markets, Google's flagship open-weight model — brings DeepMind research quality to open deployment.
Catalog specifications for Llama 4 Maverick 17B FP8 (128 Experts) and Gemma 4 318B
Specification
Llama 4 Maverick 17B FP8 (128 Experts)
Gemma 4 318B
Provider
Meta Llama
Google
Parameters
17B active / 128 experts (400B+ total)
318B
Context window
1M tokens
1M tokens
Maximum output
Not listed
Not listed
Catalog pricing
Llama 4.1 Community License — free for most. Third-party APIs: $0.20-0.50/MTok
Gemma Terms of Use — free for most uses
Listed input/output cost per 1M tokens
Separate numeric input/output rates not listed
Separate numeric input/output rates not listed
License
Llama 4.1 Community License
Gemma Terms of Use
Coding support
Listed
Listed
Reasoning support
Listed
Listed
Vision input
Listed
Listed
Multimodal
Listed
Listed
Open weights
Yes
Yes
Benchmark: MMLU
85.5%
87.2%
Benchmark: HumanEval
88.0%
85.8%
Benchmark: DocVQA
91.6%
93.1%
Figures are transcribed from LITHOVEX model records. Benchmark versions and evaluation setups may differ; pricing and specifications can change. Check each provider's current documentation before making a decision.
Frequently Asked Questions
What is different between Llama 4 Maverick 17B FP8 (128 Experts) and Gemma 4 318B?
Llama 4 Maverick 17B FP8 (128 Experts): 1M tokens; Gemma 4 318B: 1M tokens. The listed context-window values are equal. Llama 4 Maverick 17B FP8 (128 Experts) is listed for coding, reasoning, vision, multimodal input, agentic workflows, long-context tasks; Gemma 4 318B is listed for coding, reasoning, vision, multimodal input, long-context tasks. Shared catalog benchmark entries: MMLU: Llama 4 Maverick 17B FP8 (128 Experts) 85.5%; Gemma 4 318B 87.2%; HumanEval: Llama 4 Maverick 17B FP8 (128 Experts) 88.0%; Gemma 4 318B 85.8%; DocVQA: Llama 4 Maverick 17B FP8 (128 Experts) 91.6%; Gemma 4 318B 93.1%. These records are reference data, not a controlled head-to-head test; verify current pricing and specifications with each provider.
What benchmark values are listed for Llama 4 Maverick 17B FP8 (128 Experts) and Gemma 4 318B?
MMLU: Llama 4 Maverick 17B FP8 (128 Experts) 85.5%; Gemma 4 318B 87.2%; HumanEval: Llama 4 Maverick 17B FP8 (128 Experts) 88.0%; Gemma 4 318B 85.8%; DocVQA: Llama 4 Maverick 17B FP8 (128 Experts) 91.6%; Gemma 4 318B 93.1%. The catalog values may use different versions and evaluation setups, so they are reference points rather than a controlled head-to-head result.
Which model has the larger listed context window?
Llama 4 Maverick 17B FP8 (128 Experts): 1M tokens; Gemma 4 318B: 1M tokens. The listed context-window values are equal.
What are the listed costs per million tokens for Llama 4 Maverick 17B FP8 (128 Experts) and Gemma 4 318B?
Llama 4 Maverick 17B FP8 (128 Experts): Separate numeric input/output rates not listed (Llama 4.1 Community License — free for most. Third-party APIs: $0.20-0.50/MTok). Gemma 4 318B: Separate numeric input/output rates not listed (Gemma Terms of Use — free for most uses). Where separate numeric input and output rates are available, the worked example uses 1M input plus 1M output tokens. Confirm current terms with each provider.
How far apart are the listed release dates for Llama 4 Maverick 17B FP8 (128 Experts) and Gemma 4 318B?
The catalog lists Llama 4 Maverick 17B FP8 (128 Experts) as April 2025 and Gemma 4 318B as June 2025, about 2 months apart at the precision supplied.
When was the comparison data last updated?
The model catalog records 2026-10-16 as its data update date. Provider specifications and prices may have changed since then.
How should I choose between Llama 4 Maverick 17B FP8 (128 Experts) and Gemma 4 318B?
Compare the listed specifications and capabilities, review the benchmark notes, then test both with the same representative prompt for your task. This page does not claim a universal winner.
Create your free LITHOVEX account and compare Llama 4 Maverick 17B FP8 (128 Experts) and Gemma 4 318B on your actual tasks. No credit card, no API key, no subscriptions needed.