Gemini 3.5 Flash vs GPT-5.6 Terra

Benchmark Performance

Available Benchmarks

BenchmarkGemini 3.5 FlashGPT-5.6 Terra
LMArena Agent Arenaagent-2026-08-31-011508720696 · outcome_score · leader-4.0793% of row best · score · Gemini 3.5 Flash (Medium); 95% CI [-5.53391359, -2.59876989]; sessions 13762; observations 564442; rank 442.92100% of row best · score · GPT 5.6 Terra (xHigh); 95% CI [1.74076196, 4.09705014]; sessions 16778; observations 953717; rank 23
LMArena Document Arenadocument-2026-07-30-011508720696 · arena_rating · statistical tie1,464.6599% of row best · rating · gemini-3.5-flash-medium; 95% CI [1454.40953837, 1474.88391002]; votes 3689; rank 171,479.21100% of row best · rating · gpt-5.6-terra-xhigh; 95% CI [1466.19331424, 1492.21945897]; votes 1969; rank 10
LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader1,475.66100% of row best · rating · gemini-3.5-flash-medium; 95% CI [1471.01636052, 1480.30978904]; votes 32274; rank 171,446.7298% of row best · rating · gpt-5.6-terra-xhigh; 95% CI [1441.68248185, 1451.74987487]; votes 23942; rank 47
LMArena Vision Arenavision-2026-08-27-011508720696 · arena_rating · leader1,306.20100% of row best · rating · gemini-3.5-flash-medium; 95% CI [1298.00721122, 1314.38427947]; votes 8261; rank 101,268.9997% of row best · rating · gpt-5.6-terra-xhigh; 95% CI [1259.82673197, 1278.15538857]; votes 5774; rank 33
LiveBench2026-06-25 · overall · leader78.8496% of row best · percent · gemini-3.5-flash-high · 15,522 output tokens / case82.31100% of row best · percent · gpt-5.6-terra-max · 22,145 output tokens / case
ToneBench2026-08-14-10-task · overall_score · leader75.6087% of row best · points · Gemini 3.5 Flash (high thinking) · 13,604 output tokens / case86.60100% of row best · points · GPT-5.6 Terra (xhigh) · 4,819 output tokens / case
Overall ResultCounted from the protocol-matched rows above · 1 tie2 benchmark wins3 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 FlashVerified Aug 29, 2026
OpenAI · activeGPT-5.6 TerraVerified Aug 28, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldGemini 3.5 FlashGPT-5.6 Terra
DeveloperGoogle DeepMindOpenAI
FamilyGemini 3Gpt 5 6
ModelGemini 3.5 FlashGPT-5.6 Terra
VersionGemini 3.5 FlashGPT-5.6 Terra
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 Capabilities

chatgenerationreasoningtools
Input price$1.50
Output price$9.00
Serving providers1
Canonical IDgoogle-deepmind/gemini-3.5-flash

GPT-5.6 Terra Capabilities

chatgenerationreasoningtools
Input price$2.00
Output price$12.00
Serving providers2
Canonical IDopenai/gpt-5.6-terra

Internal Comparison Graph

Related Comparisons

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Primary Evidence

Sources and Freshness

Questions

Gemini 3.5 Flash vs GPT-5.6 Terra FAQs

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

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

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

Gemini 3.5 Flash is $1.50 and GPT-5.6 Terra is $2.00 per million tokens, so Gemini 3.5 Flash is cheaper on this metric. Gemini 3.5 Flash is $9.00 and GPT-5.6 Terra is $12.00 per million tokens, so Gemini 3.5 Flash is cheaper on this metric.

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

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

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

GPT-5.6 Terra leads the current overall benchmark count. The result uses 6 protocol-matched benchmarks from 3 publishers; it is not a universal quality score.

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

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

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

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

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

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

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

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

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

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

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

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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Gemini 3.5 Flash vs GPT-5.6 Terra: AI Model Comparison · Model Markets