Gemini 2.5 Pro vs Llama 4 Maverick 17B 128E Instruct

Benchmark Performance

Available Benchmarks

BenchmarkGemini 2.5 ProLlama-4-Maverick-17B-128E-Instruct
LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader1,457.82100% of row best · rating · gemini-2.5-pro; 95% CI [1455.34940240, 1460.28624287]; votes 122575; rank 331,287.1388% of row best · rating · llama-4-maverick-17b-128e-instruct; 95% CI [1282.87677682, 1291.39199009]; votes 39349; rank 243
LMArena Vision Arenavision-2026-08-27-011508720696 · arena_rating · leader1,262.42100% of row best · rating · gemini-2.5-pro; 95% CI [1257.72056767, 1267.11330698]; votes 87719; rank 411,141.4790% of row best · rating · llama-4-maverick-17b-128e-instruct; 95% CI [1132.42029588, 1150.51619722]; votes 6936; rank 102
Overall ResultCounted from the protocol-matched rows above2 benchmark winsOverall lead0 benchmark wins

Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.

FieldAt a Glance
Google DeepMind · activeGemini 2.5 ProVerified Aug 29, 2026
Meta · activeLlama 4 Maverick 17B 128E InstructVerified Aug 28, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldGemini 2.5 ProLlama-4-Maverick-17B-128E-Instruct
DeveloperGoogle DeepMindMeta
FamilyGemini 2 5Llama 4 Maverick 17b 128e Instruct
ModelGemini 2.5 ProLlama-4-Maverick-17B-128E-Instruct
VersionGemini 2.5 ProLlama-4-Maverick-17B-128E-Instruct
Lifecycleactiveactive
ReleasedUnknown2025-04-05
Knowledge cutoff2025-01-01Unknown
Input modalitiesText, Image, Video, Audio, DocumentText, Image
Output modalitiesTextText
Context window1,049K1,000K
Total parametersUnknown401.6B
Active parametersUnknown17B
LicenseUnknownother
Open weightsNoYes
API availableYesYes
Self-hostableNoYes
Provider accessGoogle AI (Standard), Google Gemini (Standard)Openrouter (Standard)
Capabilitieschat, generation, reasoning, toolschat, generation, tools

13 comparable fields · 10 material differences · Pair passes the primary-source comparison gate

Gemini 2.5 Pro Capabilities

chatgenerationreasoningtools
Input price$1.25
Output price$10.00
Serving providers2
Canonical IDgoogle-deepmind/gemini-2.5-pro

Llama 4 Maverick 17B 128E Instruct Capabilities

chatgenerationtools
Input price$0.20
Output price$0.696
Serving providers1
Canonical IDmeta-llama/Llama-4-Maverick-17B-128E-Instruct

Internal Comparison Graph

Related Comparisons

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Primary Evidence

Sources and Freshness

Questions

Gemini 2.5 Pro vs Llama 4 Maverick 17B 128E Instruct FAQs

Is Gemini 2.5 Pro or Llama 4 Maverick 17B 128E Instruct better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 2.5 Pro and Llama 4 Maverick 17B 128E Instruct, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Gemini 2.5 Pro or Llama 4 Maverick 17B 128E Instruct?+

Gemini 2.5 Pro is $1.25 and Llama 4 Maverick 17B 128E Instruct is $0.20 per million tokens, so Llama 4 Maverick 17B 128E Instruct is cheaper on this metric. Gemini 2.5 Pro is $10.00 and Llama 4 Maverick 17B 128E Instruct is $0.696 per million tokens, so Llama 4 Maverick 17B 128E Instruct is cheaper on this metric.

Which has a larger context window, Gemini 2.5 Pro or Llama 4 Maverick 17B 128E Instruct?+

Gemini 2.5 Pro has the larger sourced context window. Gemini 2.5 Pro supports 1,049K and Llama 4 Maverick 17B 128E Instruct supports 1,000K.

Which performs better in benchmarks, Gemini 2.5 Pro or Llama 4 Maverick 17B 128E Instruct?+

There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.

Can Gemini 2.5 Pro or Llama 4 Maverick 17B 128E Instruct be self-hosted?+

Llama 4 Maverick 17B 128E Instruct is the only model in this pair currently marked as self-hostable. Gemini 2.5 Pro is not marked open weight; Llama 4 Maverick 17B 128E Instruct is open weight.

Can Gemini 2.5 Pro and Llama 4 Maverick 17B 128E Instruct understand images?+

Gemini 2.5 Pro is documented with image input; Llama 4 Maverick 17B 128E Instruct is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Gemini 2.5 Pro or Llama 4 Maverick 17B 128E Instruct?+

Neither has a larger sourced maximum output. Gemini 2.5 Pro is 66K and Llama 4 Maverick 17B 128E Instruct is —.

Do Gemini 2.5 Pro and Llama 4 Maverick 17B 128E Instruct support reasoning and tool use?+

Gemini 2.5 Pro: reasoning, tool calling, and image input. Llama 4 Maverick 17B 128E Instruct: tool calling and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Gemini 2.5 Pro or Llama 4 Maverick 17B 128E Instruct?+

Gemini 2.5 Pro has 2 sourced provider routes; Llama 4 Maverick 17B 128E Instruct has 1, so Gemini 2.5 Pro has broader tracked availability.

Which offers better value, Gemini 2.5 Pro or Llama 4 Maverick 17B 128E Instruct?+

There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.

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