Gemini 3.5 Flash-Lite vs GPT-5.6 Sol

Benchmark Performance

Available Benchmarks

BenchmarkGemini 3.5 Flash-LiteGPT-5.6 Sol
LMArena Agent Arenaagent-2026-08-31-011508720696 · outcome_score · leader-10.8181% of row best · score · Gemini 3.5 Flash Lite; 95% CI [-12.19929495, -9.42408695]; sessions 22348; observations 634592; rank 519.76100% of row best · score · GPT 5.6 Sol (xHigh); 95% CI [8.23209281, 11.28769899]; sessions 28524; observations 2917301; rank 4
LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader1,436.2599% of row best · rating · gemini-3.5-flash-lite; 95% CI [1431.05053629, 1441.44358777]; votes 21843; rank 741,454.69100% of row best · rating · gpt-5.6-sol-xhigh; 95% CI [1449.58093424, 1459.80348090]; votes 23153; rank 35
LMArena Vision Arenavision-2026-08-27-011508720696 · arena_rating · statistical tie1,268.8999% of row best · rating · gemini-3.5-flash-lite; 95% CI [1258.10808094, 1279.66830878]; votes 3886; rank 341,276.90100% of row best · rating · gpt-5.6-sol-xhigh; 95% CI [1267.71657009, 1286.08047215]; votes 5837; rank 30
LiveBench2026-06-25 · overall · leader66.3578% of row best · percent · gemini-3.5-flash-lite-high · 11,526 output tokens / case85.26100% of row best · percent · gpt-5.6-sol-max · 11,729 output tokens / case
ToneBench2026-08-14-10-task · overall_score · leader74.3085% of row best · points · Gemini 3.5 Flash-Lite · 2,022 output tokens / case87.89100% of row best · points · GPT-5.6 Sol (xhigh) · 6,160 output tokens / case
Overall ResultCounted from the protocol-matched rows above · 1 tie0 benchmark wins4 benchmark winsOverall lead

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 3.5 Flash-LiteVerified Aug 29, 2026
OpenAI · activeGPT-5.6 SolVerified Aug 28, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldGemini 3.5 Flash-LiteGPT-5.6 Sol
DeveloperGoogle DeepMindOpenAI
FamilyGemini 3Gpt 5 6
ModelGemini 3.5 Flash-LiteGPT-5.6 Sol
VersionGemini 3.5 Flash-LiteGPT-5.6 Sol
Lifecycleactiveactive
ReleasedUnknownUnknown
Knowledge cutoffUnknown2026-02-16
Input modalitiesText, Image, Video, Audio, DocumentText, Image
Output modalitiesTextText
Context window1,048,5761,050,000
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessGoogle AI (Standard)OpenAI (Standard), Openrouter (Standard)
Capabilitieschat, generation, reasoning, toolschat, generation, reasoning, tools

13 comparable fields · 7 material differences · Pair passes the primary-source comparison gate

Gemini 3.5 Flash-Lite Capabilities

chatgenerationreasoningtools
Input price$0.30
Output price$2.50
Serving providers1
Canonical IDgoogle-deepmind/gemini-3.5-flash-lite

GPT-5.6 Sol Capabilities

chatgenerationreasoningtools
Input price$2.00
Output price$10.00
Serving providers2
Canonical IDopenai/gpt-5.6-sol

Internal Comparison Graph

Related Comparisons

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Primary Evidence

Sources and Freshness

Questions

Gemini 3.5 Flash-Lite vs GPT-5.6 Sol FAQs

Is Gemini 3.5 Flash-Lite or GPT-5.6 Sol better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.5 Flash-Lite and GPT-5.6 Sol, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Gemini 3.5 Flash-Lite or GPT-5.6 Sol?+

Gemini 3.5 Flash-Lite is $0.30 and GPT-5.6 Sol is $2.00 per million tokens, so Gemini 3.5 Flash-Lite is cheaper on this metric. Gemini 3.5 Flash-Lite is $2.50 and GPT-5.6 Sol is $10.00 per million tokens, so Gemini 3.5 Flash-Lite is cheaper on this metric.

Which has a larger context window, Gemini 3.5 Flash-Lite or GPT-5.6 Sol?+

GPT-5.6 Sol has the larger sourced context window. Gemini 3.5 Flash-Lite supports 1,048,576 and GPT-5.6 Sol supports 1,050,000.

Which performs better in benchmarks, Gemini 3.5 Flash-Lite or GPT-5.6 Sol?+

GPT-5.6 Sol leads the current overall benchmark count. The result uses 5 protocol-matched benchmarks from 3 publishers; it is not a universal quality score.

Can Gemini 3.5 Flash-Lite or GPT-5.6 Sol be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. Gemini 3.5 Flash-Lite is not marked open weight; GPT-5.6 Sol is not marked open weight.

Can Gemini 3.5 Flash-Lite and GPT-5.6 Sol understand images?+

Gemini 3.5 Flash-Lite is documented with image input; GPT-5.6 Sol is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Gemini 3.5 Flash-Lite or GPT-5.6 Sol?+

GPT-5.6 Sol has the larger sourced maximum output: Gemini 3.5 Flash-Lite supports 65,536 and GPT-5.6 Sol supports 128,000 output tokens.

Do Gemini 3.5 Flash-Lite and GPT-5.6 Sol support reasoning and tool use?+

Gemini 3.5 Flash-Lite: reasoning, tool calling, and image input. GPT-5.6 Sol: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Gemini 3.5 Flash-Lite or GPT-5.6 Sol?+

Gemini 3.5 Flash-Lite has 1 sourced provider route; GPT-5.6 Sol has 2, so GPT-5.6 Sol has broader tracked availability.

Which offers better value, Gemini 3.5 Flash-Lite or GPT-5.6 Sol?+

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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