Gemini 3.7 Flash vs GPT-4.1

At a Glance

Compare
Gemini 3.7 FlashGoogle DeepMind
GPT-4.1OpenAI
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5#4 of 4687.7 score · 3/3 sources · complete#44 of 463.7 score · 2/3 sources · provisional · missing LiveBench · full-core range 2.5–35.8
CostLower is better · Published-token output estimate#17 of 44$0.085 per LiveBench caseUnrankedNot in the 44-model eligible cohort
EfficiencyHigher is better · MM Efficiency v1.5#2 of 3869.9 score · 3/3 sources · completeUnrankedNot in the 38-model eligible cohort
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.75Google AI · Aug 29, 2026$1.00Openrouter · Sep 3, 2026
Output priceFrom · USD / 1M tokens$3.75Google AI · Aug 29, 2026$4.00Openrouter · Sep 3, 2026
Context windowMaximum documented tokens1,049K1,048K
Model facts checkedAug 29, 2026View model evidence →Aug 29, 2026View model evidence →

Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →

Available Benchmarks

All benchmark results →
BenchmarkGemini 3.7 FlashGPT-4.1
ARC-AGI-1verified-v1-ba05d69f6453 · verified_score · leader95.50100% of row best · percent · Gemini 3.7 Flash (High)5.506% of row best · percent · GPT-4.1
ARC-AGI-2verified-v2-6c676fa3e9af · verified_score · leader84.58100% of row best · percent · Gemini 3.7 Flash (High)0.420% of row best · percent · GPT-4.1
LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader1,490.49100% of row best · rating · gemini-3.7-flash-high; 95% CI [1482.31296820, 1498.67106273]; votes 5640; rank 81,382.7793% of row best · rating · gpt-4.1-2025-04-14; 95% CI [1379.06025569, 1386.47352582]; votes 49941; rank 157
Overall ResultCounted from the protocol-matched rows above3 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.

Side-by-Side Facts

FieldGemini 3.7 FlashGPT-4.1
DeveloperGoogle DeepMindOpenAI
FamilyGemini 3Gpt 4 1
ModelGemini 3.7 FlashGPT-4.1
VersionGemini 3.7 FlashGPT-4.1
Lifecycleactiveactive
ReleasedUnknownUnknown
Knowledge cutoffUnknown2024-06-01
Input modalitiesText, Image, Video, Audio, DocumentText, Image
Output modalitiesTextText
Context window1,049K1,048K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessGoogle AI (Standard), Google Gemini (Standard)Openai (Standard), Openrouter (Standard)
Capabilitieschat, generation, reasoning, toolschat, generation, tools

Gemini 3.7 Flash Capabilities

chatgenerationreasoningtools
Serving providers2
Canonical IDgoogle-deepmind/gemini-3.7-flash

GPT-4.1 Capabilities

chatgenerationtools
Serving providers2
Canonical IDopenai/gpt-4.1

Primary Evidence

Sources and Freshness

Questions

Gemini 3.7 Flash vs GPT-4.1 FAQs

Is Gemini 3.7 Flash or GPT-4.1 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.7 Flash and GPT-4.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Gemini 3.7 Flash or GPT-4.1?+

Gemini 3.7 Flash is $0.75 and GPT-4.1 is $1.00 per million tokens, so Gemini 3.7 Flash is cheaper on this metric. Gemini 3.7 Flash is $3.75 and GPT-4.1 is $4.00 per million tokens, so Gemini 3.7 Flash is cheaper on this metric.

Which has a larger context window, Gemini 3.7 Flash or GPT-4.1?+

Gemini 3.7 Flash has the larger sourced context window. Gemini 3.7 Flash supports 1,049K and GPT-4.1 supports 1,048K.

Which performs better in benchmarks, Gemini 3.7 Flash or GPT-4.1?+

Gemini 3.7 Flash leads the current overall benchmark count. The result uses 3 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.

Can Gemini 3.7 Flash or GPT-4.1 be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. Gemini 3.7 Flash is not marked open weight; GPT-4.1 is not marked open weight.

Can Gemini 3.7 Flash and GPT-4.1 understand images?+

Gemini 3.7 Flash is documented with image input; GPT-4.1 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Gemini 3.7 Flash or GPT-4.1?+

Gemini 3.7 Flash has the larger sourced maximum output: Gemini 3.7 Flash supports 66K and GPT-4.1 supports 33K output tokens.

Do Gemini 3.7 Flash and GPT-4.1 support reasoning and tool use?+

Gemini 3.7 Flash: reasoning, tool calling, and image input. GPT-4.1: tool calling and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Gemini 3.7 Flash or GPT-4.1?+

Gemini 3.7 Flash has 2 sourced provider routes; GPT-4.1 has 2, a tie.

Which offers better value, Gemini 3.7 Flash or GPT-4.1?+

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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