Claude Haiku 4.5 vs GPT-5.4
At a Glance
| Compare | Claude Haiku 4.5Anthropic |  GPT-5.4OpenAI |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #43 of 469.0 score · 2/3 sources · provisional · missing LiveBench · full-core range 6.0–39.3 | #14 of 4672.8 score · 3/3 sources · complete |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #36 of 44$0.274 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #25 of 3850.1 score · 3/3 sources · complete |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $1.00Anthropic ↗ · Sep 3, 2026 | $2.50Openai ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | $5.00Anthropic ↗ · Sep 3, 2026 | $15.00Openai ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 200K | 1,050K |
| Model facts checked | Aug 28, 2026View model evidence → | Sep 3, 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
| Benchmark | Claude Haiku 4.5 | GPT-5.4 |
|---|---|---|
| ARC-AGI-1verified-v1-ba05d69f6453 · verified_score · leader | 47.6751% of row best · percent · Claude Haiku 4.5 (Thinking 32K) | 93.67100% of row best · percent · GPT-5.4 (XHigh) |
| ARC-AGI-2verified-v2-6c676fa3e9af · verified_score · leader | 4.035% of row best · percent · Claude Haiku 4.5 (Thinking 32K) | 73.95100% of row best · percent · GPT-5.4 (XHigh) |
| LMArena Document Arenadocument-2026-09-13-d25aabda0010 · arena_rating · leader | 1,419.9797% of row best · rating · claude-haiku-4-5-20251001; 95% CI [1414.09579972, 1425.83505080]; votes 34677; rank 37 | 1,471.00100% of row best · rating · gpt-5.4; 95% CI [1464.96841782, 1477.04032901]; votes 33331; rank 14 |
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,396.6496% of row best · rating · claude-haiku-4-5-20251001; 95% CI [1394.12644647, 1399.14715328]; votes 129278; rank 147 | 1,452.64100% of row best · rating · gpt-5.4; 95% CI [1448.87114809, 1456.41035855]; votes 63526; rank 41 |
| ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified | 75.1588% of row best · points · Claude Haiku 4.5 · 10,996 output tokens / case | 85.60100% of row best · points · GPT-5.4 (xhigh) · 10,941 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark wins | 4 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
| Field | Claude Haiku 4.5 | GPT-5.4 |
|---|---|---|
| Developer | Anthropic | OpenAI |
| Family | Claude 4 5 | Gpt 5 4 |
| Model | Claude Haiku 4.5 | GPT-5.4 |
| Version | Claude Haiku 4.5 | GPT-5.4 |
| Lifecycle | active | active |
| Released | 2025-10-15 | 2026-03-05 |
| Knowledge cutoff | Unknown | 2025-08-31 |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 200K | 1,050K |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Anthropic (Standard), Deepinfra (Standard) | Openai (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, reasoning, structured_outputs, tools |
Claude Haiku 4.5 Capabilities
GPT-5.4 Capabilities
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Claude Haiku 4.5Anthropic | vs |  Mistral Large 3Mistral AI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Claude Haiku 4.5 vs GPT-5.4 FAQs
Is Claude Haiku 4.5 or GPT-5.4 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Haiku 4.5 and GPT-5.4, 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-5.4?+
Claude Haiku 4.5 is $1.00 and GPT-5.4 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-5.4 is $15.00 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-5.4?+
GPT-5.4 has the larger sourced context window. Claude Haiku 4.5 supports 200K and GPT-5.4 supports 1,050K.
Which performs better in benchmarks, Claude Haiku 4.5 or GPT-5.4?+
GPT-5.4 leads the current overall benchmark count. The result uses 4 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.
Can Claude Haiku 4.5 or GPT-5.4 be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Claude Haiku 4.5 is not marked open weight; GPT-5.4 is not marked open weight.
Can Claude Haiku 4.5 and GPT-5.4 understand images?+
Claude Haiku 4.5 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 Haiku 4.5 or GPT-5.4?+
GPT-5.4 has the larger sourced maximum output: Claude Haiku 4.5 supports 64K and GPT-5.4 supports 128K output tokens.
Do Claude Haiku 4.5 and GPT-5.4 support reasoning and tool use?+
Claude Haiku 4.5: 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 Haiku 4.5 or GPT-5.4?+
Claude Haiku 4.5 has 2 sourced provider routes; GPT-5.4 has 2, a tie.
Which offers better value, Claude Haiku 4.5 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.