Gemini 3.7 Flash vs Llama 4 Maverick 17B 128E Instruct

Model Markets Rankings

Intelligence, Cost, and Efficiency

All rankings →
RankingGemini 3.7 FlashLlama-4-Maverick-17B-128E-Instruct
IntelligenceHigher is better · MM Intelligence v1.2#3 of 2287.8 scoreUnrankedNot in the 22-model eligible cohort
CostLower is better · Published-token output estimate#15 of 36$0.085 per LiveBench caseUnrankedNot in the 36-model eligible cohort
EfficiencyHigher is better · MM Efficiency v1.0#2 of 2268.1 scoreUnrankedNot in the 22-model eligible cohort

Ranks come from the current complete eligible cohorts. Green highlights appear only when both models are ranked in the same metric. Missing required inputs remain unranked, and the three dimensions are not collapsed into an overall winner.

Benchmark Performance

Available Benchmarks

BenchmarkGemini 3.7 FlashLlama-4-Maverick-17B-128E-Instruct
LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader1,491.10100% of row best · rating · gemini-3.7-flash-high; 95% CI [1482.94370265, 1499.25525622]; votes 5685; rank 61,287.1386% of row best · rating · llama-4-maverick-17b-128e-instruct; 95% CI [1282.87677682, 1291.39199009]; votes 39349; rank 243
Overall ResultCounted from the protocol-matched rows above1 benchmark winOverall 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 3.7 FlashVerified Aug 29, 2026
Meta · activeLlama 4 Maverick 17B 128E InstructVerified Aug 28, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldGemini 3.7 FlashLlama-4-Maverick-17B-128E-Instruct
DeveloperGoogle DeepMindMeta
FamilyGemini 3Llama 4 Maverick 17b 128e Instruct
ModelGemini 3.7 FlashLlama-4-Maverick-17B-128E-Instruct
VersionGemini 3.7 FlashLlama-4-Maverick-17B-128E-Instruct
Lifecycleactiveactive
ReleasedUnknown2025-04-05
Knowledge cutoffUnknownUnknown
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 3.7 Flash Capabilities

chatgenerationreasoningtools
Input price$0.75
Output price$3.75
Serving providers2
Canonical IDgoogle-deepmind/gemini-3.7-flash

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 3.7 Flash vs Llama 4 Maverick 17B 128E Instruct FAQs

Is Gemini 3.7 Flash or Llama 4 Maverick 17B 128E Instruct better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.7 Flash 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 3.7 Flash or Llama 4 Maverick 17B 128E Instruct?+

Gemini 3.7 Flash is $0.75 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 3.7 Flash is $3.75 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 3.7 Flash or Llama 4 Maverick 17B 128E Instruct?+

Gemini 3.7 Flash has the larger sourced context window. Gemini 3.7 Flash supports 1,049K and Llama 4 Maverick 17B 128E Instruct supports 1,000K.

Which performs better in benchmarks, Gemini 3.7 Flash or Llama 4 Maverick 17B 128E Instruct?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can Gemini 3.7 Flash 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 3.7 Flash is not marked open weight; Llama 4 Maverick 17B 128E Instruct is open weight.

Can Gemini 3.7 Flash and Llama 4 Maverick 17B 128E Instruct understand images?+

Gemini 3.7 Flash 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 3.7 Flash or Llama 4 Maverick 17B 128E Instruct?+

Neither has a larger sourced maximum output. Gemini 3.7 Flash is 66K and Llama 4 Maverick 17B 128E Instruct is —.

Do Gemini 3.7 Flash and Llama 4 Maverick 17B 128E Instruct support reasoning and tool use?+

Gemini 3.7 Flash: 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 3.7 Flash or Llama 4 Maverick 17B 128E Instruct?+

Gemini 3.7 Flash has 2 sourced provider routes; Llama 4 Maverick 17B 128E Instruct has 1, so Gemini 3.7 Flash has broader tracked availability.

Which offers better value, Gemini 3.7 Flash 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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