GPT-5.2 vs GPT-5.6 Sol

At a Glance

Compare
GPT-5.2OpenAI
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5#33 of 4649.3 score · 3/3 sources · complete#5 of 4685.3 score · 3/3 sources · complete
CostLower is better · Published-token output estimate#28 of 44$0.161 per LiveBench case#24 of 44$0.117 per LiveBench case
EfficiencyHigher is better · MM Efficiency v1.5#34 of 3844.0 score · 3/3 sources · complete#3 of 3865.3 score · 3/3 sources · complete
Pricing and Limits
Input priceFrom · USD / 1M tokens$1.75Openai · Sep 3, 2026$2.00Openrouter · Sep 22, 2026
Output priceFrom · USD / 1M tokens$14.00Openai · Sep 3, 2026$10.00Openrouter · Sep 22, 2026
Context windowMaximum documented tokens400K1,050K
Model facts checkedSep 3, 2026View model evidence →Aug 28, 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 →
BenchmarkGPT-5.2GPT-5.6 Sol
ARC-AGI-1verified-v1-ba05d69f6453 · verified_score · leader86.1788% of row best · percent · GPT-5.2 (XHigh)97.50100% of row best · percent · GPT-5.6 Sol (XHigh)
ARC-AGI-2verified-v2-6c676fa3e9af · verified_score · leader52.9157% of row best · percent · GPT-5.2 (XHigh)92.50100% of row best · percent · GPT-5.6 Sol (Max)
LMArena Document Arenadocument-2026-09-13-d25aabda0010 · arena_rating · leader1,401.1294% of row best · rating · gpt-5.2; 95% CI [1395.19508120, 1407.03614053]; votes 28212; rank 441,482.71100% of row best · rating · gpt-5.6-sol-xhigh; 95% CI [1473.91086026, 1491.51379085]; votes 4818; rank 10
LMArena Search Arenasearch-2026-08-24-d25aabda0010 · arena_rating · leader1,172.1493% of row best · rating · gpt-5.2-search-non-reasoning; 95% CI [1166.59081201, 1177.68538907]; votes 75658; rank 201,257.26100% of row best · rating · gpt-5.6-sol-xhigh; 95% CI [1249.79496224, 1264.72573796]; votes 29663; rank 1
LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader1,412.4397% of row best · rating · gpt-5.2; 95% CI [1409.21136225, 1415.65317114]; votes 78967; rank 1251,455.05100% of row best · rating · gpt-5.6-sol-xhigh; 95% CI [1450.16111002, 1459.93036454]; votes 27069; rank 37
LMArena Vision Arenavision-2026-09-13-d25aabda0010 · arena_rating · leader1,229.4496% of row best · rating · gpt-5.2; 95% CI [1223.25930119, 1235.62760198]; votes 18997; rank 681,280.13100% of row best · rating · gpt-5.6-sol-xhigh; 95% CI [1271.78485021, 1288.47570636]; votes 7729; rank 29
LiveBench2026-06-25 · overall · leader79.2193% of row best · percent · gpt-5.2-2025-12-11-high · 11,512 output tokens / case85.26100% of row best · percent · gpt-5.6-sol-max · 11,729 output tokens / case
ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified78.0889% of row best · points · GPT-5.2 · 4,266 output tokens / case87.97100% of row best · points · GPT-5.6 Sol (ultra) · 10,204 output tokens / case
Overall ResultCounted from the protocol-matched rows above0 benchmark wins7 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.

Side-by-Side Facts

FieldGPT-5.2GPT-5.6 Sol
DeveloperOpenAIOpenAI
FamilyGpt 5 2Gpt 5 6
ModelGPT-5.2GPT-5.6 Sol
VersionGPT-5.2GPT-5.6 Sol
Lifecycleactiveactive
Released2025-12-11Unknown
Knowledge cutoff2025-08-312026-02-16
Input modalitiesText, ImageText, Image
Output modalitiesTextText
Context window400K1,050K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessOpenai (Standard), Openrouter (Standard)Openai (Standard), Openrouter (Standard)
Capabilitieschat, generation, reasoning, structured_outputs, toolschat, generation, reasoning, tools

GPT-5.2 Capabilities

chatgenerationreasoningstructured outputstools
Serving providers2
Canonical IDopenai/gpt-5.2

GPT-5.6 Sol Capabilities

chatgenerationreasoningtools
Serving providers2
Canonical IDopenai/gpt-5.6-sol

Primary Evidence

Sources and Freshness

Questions

GPT-5.2 vs GPT-5.6 Sol FAQs

Is GPT-5.2 or GPT-5.6 Sol better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both GPT-5.2 and GPT-5.6 Sol, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, GPT-5.2 or GPT-5.6 Sol?+

GPT-5.2 is $1.75 and GPT-5.6 Sol is $2.00 per million tokens, so GPT-5.2 is cheaper on this metric. GPT-5.2 is $14.00 and GPT-5.6 Sol is $10.00 per million tokens, so GPT-5.6 Sol is cheaper on this metric.

Which has a larger context window, GPT-5.2 or GPT-5.6 Sol?+

GPT-5.6 Sol has the larger sourced context window. GPT-5.2 supports 400K and GPT-5.6 Sol supports 1,050K.

Which performs better in benchmarks, GPT-5.2 or GPT-5.6 Sol?+

GPT-5.6 Sol leads the current overall benchmark count. The result uses 7 protocol-matched benchmarks from 3 publishers; it is not a universal quality score.

Can GPT-5.2 or GPT-5.6 Sol be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. GPT-5.2 is not marked open weight; GPT-5.6 Sol is not marked open weight.

Can GPT-5.2 and GPT-5.6 Sol understand images?+

GPT-5.2 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, GPT-5.2 or GPT-5.6 Sol?+

Neither has a larger sourced maximum output. GPT-5.2 is 128K and GPT-5.6 Sol is 128K.

Do GPT-5.2 and GPT-5.6 Sol support reasoning and tool use?+

GPT-5.2: 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, GPT-5.2 or GPT-5.6 Sol?+

GPT-5.2 has 2 sourced provider routes; GPT-5.6 Sol has 2, a tie.

Which offers better value, GPT-5.2 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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