Claude Sonnet 4.5 vs GPT-5.6 Sol

At a Glance

Compare
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5#36 of 4627.7 score · 2/3 sources · provisional · missing LiveBench · full-core range 18.5–51.8#5 of 4685.3 score · 3/3 sources · complete
CostLower is better · Published-token output estimateUnrankedNot in the 44-model eligible cohort#24 of 44$0.117 per LiveBench case
EfficiencyHigher is better · MM Efficiency v1.5UnrankedNot in the 38-model eligible cohort#3 of 3865.3 score · 3/3 sources · complete
Pricing and Limits
Input priceFrom · USD / 1M tokens$3.00Anthropic · Sep 3, 2026$2.00Openrouter · Sep 22, 2026
Output priceFrom · USD / 1M tokens$15.00Anthropic · Sep 3, 2026$10.00Openrouter · Sep 22, 2026
Context windowMaximum documented tokens200K1,050K
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 →
BenchmarkClaude Sonnet 4.5GPT-5.6 Sol
ARC-AGI-1verified-v1-ba05d69f6453 · verified_score · leader63.6765% of row best · percent · Claude Sonnet 4.5 (Thinking 32K)97.50100% of row best · percent · GPT-5.6 Sol (XHigh)
ARC-AGI-2verified-v2-6c676fa3e9af · verified_score · leader13.6115% of row best · percent · Claude Sonnet 4.5 (Thinking 32K)92.50100% of row best · percent · GPT-5.6 Sol (Max)
LMArena Document Arenadocument-2026-09-13-d25aabda0010 · arena_rating · leader1,449.8198% of row best · rating · claude-sonnet-4-5-20250929; 95% CI [1443.68972646, 1455.92640287]; votes 31455; rank 281,482.71100% 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 · leader1,158.4692% of row best · rating · claude-sonnet-4-5-search; 95% CI [1153.41447529, 1163.49714967]; votes 127378; rank 241,257.26100% 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 · leader1,433.9499% of row best · rating · claude-sonnet-4-5-20250929-high-32k; 95% CI [1431.13982742, 1436.74901697]; votes 80980; rank 811,455.05100% of row best · rating · gpt-5.6-sol-xhigh; 95% CI [1450.16111002, 1459.93036454]; votes 27069; rank 37
ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified77.2588% of row best · points · Claude Sonnet 4.5 · 7,415 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 wins5 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

FieldClaude Sonnet 4.5GPT-5.6 Sol
DeveloperAnthropicOpenAI
FamilyClaude 4Gpt 5 6
ModelClaude Sonnet 4.5GPT-5.6 Sol
VersionClaude Sonnet 4.5GPT-5.6 Sol
Lifecycleactiveactive
Released2025-09-29Unknown
Knowledge cutoff2025-01-012026-02-16
Input modalitiesText, ImageText, Image
Output modalitiesTextText
Context window200K1,050K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessAnthropic (Standard)Openai (Standard), Openrouter (Standard)
Capabilitieschat, generation, reasoning, structured_outputs, toolschat, generation, reasoning, tools

Claude Sonnet 4.5 Capabilities

chatgenerationreasoningstructured outputstools
Serving providers1
Canonical IDanthropic/claude-sonnet-4-5

GPT-5.6 Sol Capabilities

chatgenerationreasoningtools
Serving providers2
Canonical IDopenai/gpt-5.6-sol

Primary Evidence

Sources and Freshness

Questions

Claude Sonnet 4.5 vs GPT-5.6 Sol FAQs

Is Claude Sonnet 4.5 or GPT-5.6 Sol better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Claude Sonnet 4.5 and GPT-5.6 Sol, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Claude Sonnet 4.5 or GPT-5.6 Sol?+

Claude Sonnet 4.5 is $3.00 and GPT-5.6 Sol is $2.00 per million tokens, so GPT-5.6 Sol is cheaper on this metric. Claude Sonnet 4.5 is $15.00 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, Claude Sonnet 4.5 or GPT-5.6 Sol?+

GPT-5.6 Sol has the larger sourced context window. Claude Sonnet 4.5 supports 200K and GPT-5.6 Sol supports 1,050K.

Which performs better in benchmarks, Claude Sonnet 4.5 or GPT-5.6 Sol?+

GPT-5.6 Sol leads the current overall benchmark count. The result uses 5 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.

Can Claude Sonnet 4.5 or GPT-5.6 Sol be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. Claude Sonnet 4.5 is not marked open weight; GPT-5.6 Sol is not marked open weight.

Can Claude Sonnet 4.5 and GPT-5.6 Sol understand images?+

Claude Sonnet 4.5 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, Claude Sonnet 4.5 or GPT-5.6 Sol?+

GPT-5.6 Sol has the larger sourced maximum output: Claude Sonnet 4.5 supports 64K and GPT-5.6 Sol supports 128K output tokens.

Do Claude Sonnet 4.5 and GPT-5.6 Sol support reasoning and tool use?+

Claude Sonnet 4.5: 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, Claude Sonnet 4.5 or GPT-5.6 Sol?+

Claude Sonnet 4.5 has 1 sourced provider route; GPT-5.6 Sol has 2, so GPT-5.6 Sol has broader tracked availability.

Which offers better value, Claude Sonnet 4.5 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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