Claude Opus 4.6 vs GPT-5.4

Benchmark Performance

Available Benchmarks

BenchmarkClaude Opus 4.6GPT-5.4
ARC-AGI-1verified-v1-b2e2a31b3d53 · verified_score · leader94.00100% of row best · percent · Claude Opus 4.6 (120K, High)93.67100% of row best · percent · GPT-5.4 (XHigh)
ARC-AGI-2verified-v2-326661568d5f · verified_score · leader69.1794% of row best · percent · Claude Opus 4.6 (120K, High)73.95100% of row best · percent · GPT-5.4 (XHigh)
LMArena Agent Arenaagent-2026-08-31-011508720696 · outcome_score · statistical tie5.22100% of row best · score · Claude Opus 4.6; 95% CI [3.87284067, 6.56107425]; sessions 36365; observations 1299912; rank 173.2598% of row best · score · GPT 5.4 (High); 95% CI [2.38938480, 4.10626048]; sessions 76973; observations 3360684; rank 21
LMArena Document Arenadocument-2026-07-30-011508720696 · arena_rating · leader1,505.91100% of row best · rating · claude-opus-4-6-thinking; 95% CI [1498.85646357, 1512.96777060]; votes 24973; rank 31,470.1498% of row best · rating · gpt-5.4; 95% CI [1463.54357191, 1476.73400825]; votes 29809; rank 15
LMArena Search Arenasearch-2026-08-24-011508720696 · arena_rating · leader1,253.42100% of row best · rating · claude-opus-4-6-search; 95% CI [1248.44594166, 1258.38585709]; votes 134699; rank 21,197.1696% of row best · rating · gpt-5.4-search; 95% CI [1191.73811150, 1202.57682579]; votes 110116; rank 16
LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader1,497.70100% of row best · rating · claude-opus-4-6; 95% CI [1494.29292018, 1501.10380984]; votes 76032; rank 41,452.5197% of row best · rating · gpt-5.4; 95% CI [1448.73439083, 1456.28324387]; votes 63615; rank 37
LMArena Vision Arenavision-2026-08-27-011508720696 · arena_rating · leader1,311.43100% of row best · rating · claude-opus-4-6; 95% CI [1304.90444379, 1317.95290154]; votes 25210; rank 71,293.1899% of row best · rating · gpt-5.4; 95% CI [1286.41064849, 1299.95761489]; votes 21245; rank 20
LiveBench2026-06-25 · overall · leader78.6996% of row best · percent · claude-opus-4-6-thinking-auto-high-effort · 9,651 output tokens / case82.38100% of row best · percent · gpt-5.4-xhigh · 18,273 output tokens / case
ToneBench2026-08-28-10-task-cd9819ab6e4d · overall_score · leader84.21100% of row best · points · Claude Opus 4.6 · 2,607 output tokens / case82.4798% of row best · points · GPT-5.4 · 3,254 output tokens / case
Overall ResultCounted from the protocol-matched rows above · 1 tie6 benchmark winsOverall lead2 benchmark wins

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
Anthropic · activeClaude Opus 4.6Verified Sep 3, 2026
OpenAI · activeGPT-5.4Verified Sep 3, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldClaude Opus 4.6GPT-5.4
DeveloperAnthropicOpenAI
FamilyClaude 4Gpt 5 4
ModelClaude Opus 4.6GPT-5.4
VersionClaude Opus 4.6GPT-5.4
Lifecycleactiveactive
Released2026-02-052026-03-05
Knowledge cutoff2025-05-012025-08-31
Input modalitiesText, ImageText, Image
Output modalitiesTextText
Context window1,000,0001,050,000
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, structured_outputs, tools

15 comparable fields · 8 material differences · Pair passes the primary-source comparison gate

Claude Opus 4.6 Capabilities

chatgenerationreasoningstructured outputstools
Input price$5.00
Output price$25.00
Serving providers1
Canonical IDanthropic/claude-opus-4-6

GPT-5.4 Capabilities

chatgenerationreasoningstructured outputstools
Input price$2.50
Output price$15.00
Serving providers2
Canonical IDopenai/gpt-5.4

Internal Comparison Graph

Related Comparisons

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Primary Evidence

Sources and Freshness

Questions

Claude Opus 4.6 vs GPT-5.4 FAQs

Is Claude Opus 4.6 or GPT-5.4 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Claude Opus 4.6 and GPT-5.4, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Claude Opus 4.6 or GPT-5.4?+

Claude Opus 4.6 is $5.00 and GPT-5.4 is $2.50 per million tokens, so GPT-5.4 is cheaper on this metric. Claude Opus 4.6 is $25.00 and GPT-5.4 is $15.00 per million tokens, so GPT-5.4 is cheaper on this metric.

Which has a larger context window, Claude Opus 4.6 or GPT-5.4?+

GPT-5.4 has the larger sourced context window. Claude Opus 4.6 supports 1,000,000 and GPT-5.4 supports 1,050,000.

Which performs better in benchmarks, Claude Opus 4.6 or GPT-5.4?+

Claude Opus 4.6 leads the current overall benchmark count. The result uses 9 protocol-matched benchmarks from 4 publishers; it is not a universal quality score.

Can Claude Opus 4.6 or GPT-5.4 be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. Claude Opus 4.6 is not marked open weight; GPT-5.4 is not marked open weight.

Can Claude Opus 4.6 and GPT-5.4 understand images?+

Claude Opus 4.6 is documented with image input; GPT-5.4 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Claude Opus 4.6 or GPT-5.4?+

Neither has a larger sourced maximum output. Claude Opus 4.6 is 128,000 and GPT-5.4 is 128,000.

Do Claude Opus 4.6 and GPT-5.4 support reasoning and tool use?+

Claude Opus 4.6: reasoning, tool calling, and image input. GPT-5.4: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Claude Opus 4.6 or GPT-5.4?+

Claude Opus 4.6 has 1 sourced provider route; GPT-5.4 has 2, so GPT-5.4 has broader tracked availability.

Which offers better value, Claude Opus 4.6 or GPT-5.4?+

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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