Claude Opus 4.5 vs GPT-4.1 Nano

At a Glance

Compare
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5#27 of 4655.4 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 36.9–70.3UnrankedNot in the 46-model eligible cohort
CostLower is better · Published-token output estimate#40 of 44$0.380 per LiveBench caseUnrankedNot in the 44-model eligible cohort
EfficiencyHigher is better · MM Efficiency v1.5#36 of 3838.0 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 28.8–45.4UnrankedNot in the 38-model eligible cohort
Pricing and Limits
Input priceFrom · USD / 1M tokens$5.00Anthropic · Sep 3, 2026$0.050Openrouter · Sep 3, 2026
Output priceFrom · USD / 1M tokens$25.00Anthropic · Sep 3, 2026$0.20Openrouter · Sep 3, 2026
Context windowMaximum documented tokens200K1,048K
Model facts checkedSep 3, 2026View model evidence →Aug 29, 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 Opus 4.5GPT-4.1 Nano
Berkeley Function Calling Leaderboardv4-ede5081a24bc · overall_accuracy · leader33.47100% of row best · percent · Claude-Opus-4-5-20251101 (Prompt)24.8874% of row best · percent · GPT-4.1-nano-2025-04-14 (Prompt)
LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader1,447.08100% of row best · rating · claude-opus-4-5-20251101-high-32k; 95% CI [1443.17965746, 1450.98398333]; votes 36239; rank 491,284.7289% of row best · rating · gpt-4.1-nano-2025-04-14; 95% CI [1277.08013307, 1292.36659971]; votes 6103; rank 250
Overall ResultCounted from the protocol-matched rows above2 benchmark winsOverall lead0 benchmark wins

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 Opus 4.5GPT-4.1 Nano
DeveloperAnthropicOpenAI
FamilyClaude 4Gpt 4 1
ModelClaude Opus 4.5GPT-4.1 Nano
VersionClaude Opus 4.5GPT-4.1 Nano
Lifecycleactiveactive
Released2025-11-24Unknown
Knowledge cutoff2025-05-012024-06-01
Input modalitiesText, ImageText, Image
Output modalitiesTextText
Context window200K1,048K
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, tools

Claude Opus 4.5 Capabilities

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

GPT-4.1 Nano Capabilities

chatgenerationtools
Serving providers2
Canonical IDopenai/gpt-4.1-nano

Primary Evidence

Sources and Freshness

Questions

Claude Opus 4.5 vs GPT-4.1 Nano FAQs

Is Claude Opus 4.5 or GPT-4.1 Nano better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Claude Opus 4.5 and GPT-4.1 Nano, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Claude Opus 4.5 or GPT-4.1 Nano?+

Claude Opus 4.5 is $5.00 and GPT-4.1 Nano is $0.050 per million tokens, so GPT-4.1 Nano is cheaper on this metric. Claude Opus 4.5 is $25.00 and GPT-4.1 Nano is $0.20 per million tokens, so GPT-4.1 Nano is cheaper on this metric.

Which has a larger context window, Claude Opus 4.5 or GPT-4.1 Nano?+

GPT-4.1 Nano has the larger sourced context window. Claude Opus 4.5 supports 200K and GPT-4.1 Nano supports 1,048K.

Which performs better in benchmarks, Claude Opus 4.5 or GPT-4.1 Nano?+

Claude Opus 4.5 leads the current overall benchmark count. The result uses 2 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.

Can Claude Opus 4.5 or GPT-4.1 Nano be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. Claude Opus 4.5 is not marked open weight; GPT-4.1 Nano is not marked open weight.

Can Claude Opus 4.5 and GPT-4.1 Nano understand images?+

Claude Opus 4.5 is documented with image input; GPT-4.1 Nano is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Claude Opus 4.5 or GPT-4.1 Nano?+

Claude Opus 4.5 has the larger sourced maximum output: Claude Opus 4.5 supports 64K and GPT-4.1 Nano supports 33K output tokens.

Do Claude Opus 4.5 and GPT-4.1 Nano support reasoning and tool use?+

Claude Opus 4.5: reasoning, tool calling, and image input. GPT-4.1 Nano: tool calling and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Claude Opus 4.5 or GPT-4.1 Nano?+

Claude Opus 4.5 has 1 sourced provider route; GPT-4.1 Nano has 2, so GPT-4.1 Nano has broader tracked availability.

Which offers better value, Claude Opus 4.5 or GPT-4.1 Nano?+

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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