Model comparison
Claude Haiku 4.5 vs GPT-5.4 Nano
Anthropic against OpenAI, compared on context, price, and verified benchmark results.
Catalog record checked September 5, 2026Individual provider fields may changeEvidence confidence: High — see receipts below
Anthropic
Claude Haiku 4.5
Budget
OpenAI
GPT-5.4 Nano
Budget
| Specification | Claude Haiku 4.5 | GPT-5.4 Nano |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Tier | Budget | Budget |
| Context window | 200K | Winner: 400K |
| Max output | 64K | Winner: 128K |
| Input / 1M tokens | $1 | Winner: $0.20 |
| Output / 1M tokens | $5 | Winner: $1.25 |
| Weights | Closed | Closed |
| Parameters | Not disclosedUnverified | Not disclosedUnverified |
| Reasoning levels | Not verifiedUnverified | none, low, medium, high |
| Modalities | text, image | text, image |
| API model id | claude-haiku-4-5-20251001 | gpt-5.4-nano |
| Released | October 15, 2025 | March 17, 2026 |
| Artificial Analysis Intelligence Index (2026-08-14) | 28 | Not verifiedUnverified |
| Artificial Analysis Intelligence Index [high] (2026-08-14) | Not verifiedUnverified | 40 |
| SWE-bench Verified (2026-02-17) | 66.6 | Not verifiedUnverified |
| Terminal-Bench (2025-10-15) | 40.21 | Not verifiedUnverified |
Prices are USD per million tokens at standard rates, excluding batch and caching discounts. Bold indicates the better figure where one is objectively better. Values we could not confirm from the provider are shown as “Not verified” rather than estimated.
Benchmark receipts
- 2026-08-14: Artificial AnalysisComposite index blending reasoning, knowledge, and coding evals into one 0–100 score. Comparability: directly comparable — AA occasionally rebaselines the index scale between snapshots — a score captured on one date is only comparable to same-snapshot scores (check measuredAt).
- 2026-02-17: SWE-bench official leaderboard (independent harness: mini-SWE-agent bash-only, $0.33/task; conflicts with vendor 73.3 — both preserved)Real GitHub issue resolution: does the model's patch pass the hidden tests. Comparability: comparable with caveat — Post-audit vendor claims and pre-audit scores sit on different task trust levels; scaffolding (agent harness, compute budget) also dominates results. Never aggregate across scaffolds.
- 2025-10-15: Anthropic — Introducing Claude Haiku 4.5 (vendor, Terminus 2, no thinking, 6 runs; 41.75 with 32K thinking)Real GitHub issue resolution: does the model's patch pass the hidden tests. Comparability: comparable with caveat — Post-audit vendor claims and pre-audit scores sit on different task trust levels; scaffolding (agent harness, compute budget) also dominates results. Never aggregate across scaffolds.
Pricing tiers: Claude Haiku 4.5: Standard $1/$5 per MTok; cache reads 10% of base input. 200K context (vs 1M on Opus/Sonnet 5). · GPT-5.4 Nano: Standard $0.20/$1.25 per MTok; cached input $0.02/MTok; batch $0.10/$0.625.
Claude Haiku 4.5
Claude Haiku 4.5 is Anthropic's fastest, cheapest tier for high-volume classification and extraction.
Best for
- High-volume classification
- Routine extraction
- Latency-sensitive stacks
Watch out
No adaptive thinking; 200K context only. A generation behind Opus/Sonnet 5 — Anthropic lists 2026-10-15 as the earliest possible retirement date.
GPT-5.4 Nano
GPT-5.4 Nano is OpenAI's cheapest small tier for classification and extraction at $0.20/$1.25.
Best for
- Classification
- Summarisation
- High-volume chat
Watch out
Smallest tier; not for hard reasoning or coding.
When the cheaper one wins
GPT-5.4 Nano is cheaper on output at $1.25 per million tokens against $5 for Claude Haiku 4.5 — about 4.0×. Use the cheaper tier for classification, extraction, summarisation, and any task where the expensive model’s extra score does not change the accepted output. The expensive one only pays if your hardest task actually fails on the cheap tier. These are standard-tier API rates, excluding batch and cache discounts.
Run the model pickerEvidence confidence: High
How strong and complete the evidence behind this comparison is — not a prediction of which model is better.
- Pricing verified on both sides — Input and output rates are verified for both models.
- 3/5 core specs verified on both sides — Not published for at least one side: parameter count, reasoning levels.
- 1 shared named benchmark with differing scores — Measured on: Artificial Analysis Intelligence Index.
- Verified within the last 90 days — Newest catalog check was 6 days ago.
- Both models carry source citations — Each side has at least two catalog sources on record.
Source receipts
Each catalog figure was checked against the provider or an independent second source on the date shown.
- Claude Haiku 4.5: Anthropic — Claude Haiku 4.5 (accessed 2026-08-29)
- Claude Haiku 4.5: Anthropic pricing (accessed 2026-08-29)
- GPT-5.4 Nano: OpenAI — GPT-5.4 Mini & Nano (accessed 2026-08-29)
- GPT-5.4 Nano: OpenAI API pricing (gpt-5.4-nano $0.20/$1.25) (accessed 2026-08-29)
Related comparisons
- Claude Fable 5.1 vs Claude Haiku 4.5
- Claude Fable 5 vs Claude Haiku 4.5
- Claude Haiku 4.5 vs Claude Mythos 5.1
- Claude Haiku 4.5 vs Claude Opus 5
- Claude Haiku 4.5 vs Claude Sonnet 5
- Claude Haiku 4.5 vs DeepSeek V3.1
Diving deeper on one model? Claude Haiku 4.5 · GPT-5.4 Nano
Common questions
Claude Haiku 4.5 vs GPT-5.4 Nano
Answered from the verified figures on this page rather than general guidance.
Is Claude Haiku 4.5 or GPT-5.4 Nano cheaper for input?
GPT-5.4 Nano is cheaper at $0.20 per million input tokens, against $1 for Claude Haiku 4.5 — roughly 5.0× the price. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate. These are base rates; Claude Haiku 4.5 has tiered pricing: Standard $1/$5 per MTok; cache reads 10% of base input. 200K context (vs 1M on Opus/Sonnet 5). GPT-5.4 Nano has tiered pricing: Standard $0.20/$1.25 per MTok; cached input $0.02/MTok; batch $0.10/$0.625.
Is Claude Haiku 4.5 or GPT-5.4 Nano cheaper for output?
GPT-5.4 Nano is cheaper at $1.25 per million output tokens, against $5 for Claude Haiku 4.5 — roughly 4.0× the price. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate. These are base rates; Claude Haiku 4.5 has tiered pricing: Standard $1/$5 per MTok; cache reads 10% of base input. 200K context (vs 1M on Opus/Sonnet 5). GPT-5.4 Nano has tiered pricing: Standard $0.20/$1.25 per MTok; cached input $0.02/MTok; batch $0.10/$0.625.
Which has the larger context window, Claude Haiku 4.5 or GPT-5.4 Nano?
GPT-5.4 Nano accepts 400K tokens against 200K for Claude Haiku 4.5. This only matters if you routinely send very long documents or large codebases.
Should I use Claude Haiku 4.5 or GPT-5.4 Nano?
Both sit in the budget tier, so the choice usually comes down to price and context rather than capability. Claude Haiku 4.5 suits high-volume classification; GPT-5.4 Nano suits classification.
Next step
Choosing between them
The verified figures that separate this pair, computed from the catalog rather than restated boilerplate.
- Input price: GPT-5.4 Nano costs $0.20 per 1M tokens versus $1 for Claude Haiku 4.5 — a 5x difference at the headline tier.
- Context: GPT-5.4 Nano takes 400K against 200K for Claude Haiku 4.5 — only decisive if your prompts approach the smaller window.
Choosing a harness rather than a model — Cursor, Copilot, Claude Code, Windsurf, or Lovable? Compare agentic harnesses · Latest releases.