Claude Haiku 4.5 vs GPT-4o

Benchmark Performance

Available Benchmarks

BenchmarkClaude Haiku 4.5GPT-4o
LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader1,395.25100% of row best · rating · claude-haiku-4-5-20251001; 95% CI [1392.70335168, 1397.78975878]; votes 124979; rank 1441,282.3392% of row best · rating · gpt-4o-2024-08-06; 95% CI [1278.14385443, 1286.52509361]; votes 45499; rank 250
Overall ResultCounted from the protocol-matched rows above1 benchmark winOverall 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.

FieldAt a Glance
Anthropic · activeClaude Haiku 4.5Verified Aug 28, 2026
OpenAI · activeGPT-4oVerified Aug 29, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldClaude Haiku 4.5GPT-4o
DeveloperAnthropicOpenAI
FamilyClaude 4 5Gpt 4o
ModelClaude Haiku 4.5GPT-4o
VersionClaude Haiku 4.5GPT-4o
Lifecycleactiveactive
Released2025-10-15Unknown
Knowledge cutoffUnknown2023-10-01
Input modalitiesText, ImageText, Image
Output modalitiesTextText
Context window200,000128,000
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessAnthropic (Standard)OpenAI (Standard), Openrouter (Standard)
Capabilitieschat, generation, reasoning, toolschat, generation, tools

13 comparable fields · 7 material differences · Pair passes the primary-source comparison gate

Claude Haiku 4.5 Capabilities

chatgenerationreasoningtools
Input price$1.00
Output price$5.00
Serving providers1
Canonical IDanthropic/claude-haiku-4-5-20251001

GPT-4o Capabilities

chatgenerationtools
Input price$2.50
Output price$10.00
Serving providers2
Canonical IDopenai/gpt-4o-2024-08-06

Internal Comparison Graph

Related Comparisons

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Primary Evidence

Sources and Freshness

Questions

Claude Haiku 4.5 vs GPT-4o FAQs

Is Claude Haiku 4.5 or GPT-4o better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Claude Haiku 4.5 and GPT-4o, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Claude Haiku 4.5 or GPT-4o?+

Claude Haiku 4.5 is $1.00 and GPT-4o is $2.50 per million tokens, so Claude Haiku 4.5 is cheaper on this metric. Claude Haiku 4.5 is $5.00 and GPT-4o is $10.00 per million tokens, so Claude Haiku 4.5 is cheaper on this metric.

Which has a larger context window, Claude Haiku 4.5 or GPT-4o?+

Claude Haiku 4.5 has the larger sourced context window. Claude Haiku 4.5 supports 200,000 and GPT-4o supports 128,000.

Which performs better in benchmarks, Claude Haiku 4.5 or GPT-4o?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can Claude Haiku 4.5 or GPT-4o be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. Claude Haiku 4.5 is not marked open weight; GPT-4o is not marked open weight.

Can Claude Haiku 4.5 and GPT-4o understand images?+

Claude Haiku 4.5 is documented with image input; GPT-4o is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Claude Haiku 4.5 or GPT-4o?+

Claude Haiku 4.5 has the larger sourced maximum output: Claude Haiku 4.5 supports 64,000 and GPT-4o supports 16,384 output tokens.

Do Claude Haiku 4.5 and GPT-4o support reasoning and tool use?+

Claude Haiku 4.5: reasoning, tool calling, and image input. GPT-4o: tool calling and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Claude Haiku 4.5 or GPT-4o?+

Claude Haiku 4.5 has 1 sourced provider route; GPT-4o has 2, so GPT-4o has broader tracked availability.

Which offers better value, Claude Haiku 4.5 or GPT-4o?+

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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