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AI Choice Engine

Model comparison

Claude Haiku 4.5 vs GPT-5.6 Luna

Anthropic against OpenAI, compared on context, price, and attributed benchmark results.

Recorded profile verification October 1, 2026Individual provider fields may changeEvidence confidence: Medium — see receipts below

Anthropic

Claude Haiku 4.5

Budget

vs

OpenAI

GPT-5.6 Luna

Budget

AI model capability comparison
SpecificationClaude Haiku 4.5GPT-5.6 Luna
ProviderAnthropicOpenAI
TierBudgetBudget
Context window200KWinner: 1.05M
Max output64KWinner: 128K
Input / 1M tokens$1Winner: $0.20
Output / 1M tokens$5Winner: $1.20
WeightsClosedClosed
ParametersNot verifiedUnverifiedNot verifiedUnverified
Reasoning levelsextended thinking (budget_tokens)none, low, medium, high, xhigh, max
Modalitiestext, imagetext, image
API model idclaude-haiku-4-5-20251001gpt-5.6-luna
ReleasedOctober 15, 2025July 9, 2026
SWE-bench Verified [high] · source date Claude Haiku 4.5: 2026-02-1766.6Not verifiedUnverified
SWE-bench Verified · source date Claude Haiku 4.5: 2025-10-1573.3Not verifiedUnverified
Terminal-Bench · source date Claude Haiku 4.5: 2025-10-1540.21Not verifiedUnverified
Terminal-Bench 2.1 · source date GPT-5.6 Luna: 2026-07-09Not verifiedUnverified84.7
LiveBench · source date GPT-5.6 Luna: 2026-09-05Not verifiedUnverified73.6

Dates beside benchmark scores refer to the linked source’s publication or capture date unless that source explicitly states when it measured the result. A shared URL alone does not establish comparable runs; unverified setups are marked. Prices are USD per million tokens at standard rates, excluding batch and caching discounts. Values we could not confirm from the provider are shown as “Not verified” rather than estimated.

Benchmark receipts

Where each score comes from, and how far it can be compared across models.

Pricing tiers

Claude Haiku 4.5: Standard $1/$5 per MTok; cache reads $0.10, 5-minute writes $1.25 and 1-hour writes $2. Batch $0.50/$2.50. Context 200K and output 64K. Reliable knowledge cutoff Feb 2025; training cutoff Jul 2025. The alias claude-haiku-4-5 resolves to claude-haiku-4-5-20251001. Retirement not sooner than October 15, 2026; no definite shutdown is announced.

GPT-5.6 Luna: Launch $1/$6, reduced to $0.20/$1.20 on July 30. Above 272K input the full request bills $0.40/$1.80. Cached input $0.02; cache writes $0.25 at short context. Batch $0.10/$0.60 at short context. Regional/FedRAMP processing adds 10% where eligible.

BudgetRecord checked October 1, 2026

Claude Haiku 4.5

Claude Haiku 4.5 is Anthropic's lower-cost Haiku tier for high-volume classification and extraction at $1/$5 per million input/output tokens.

Best for

  • High-volume classification
  • Routine extraction
  • Latency-sensitive stacks

Watch out

No adaptive thinking (manual extended thinking via budget_tokens only); 200K context. Anthropic lists 2026-10-15 as the earliest possible retirement date, and Haiku 5.5 is announced but not released.

BudgetRecord checked October 1, 2026

GPT-5.6 Luna

OpenAI’s GPT-5.6 budget tier, succeeded by GPT-6 Luna on September 22. The newer model halves input pricing ($0.20→$0.10) and lowers output pricing from $1.20 to $0.50.

Best for

  • Classification
  • High-volume chat
  • Latency-sensitive pipelines

Watch out

Superseded by GPT-6 Luna and still listed in the API. Historical index captures are not current evidence of equal quality; the successor has lower Standard input and output prices.

When the cheaper one wins

GPT-5.6 Luna is cheaper on output at $1.20 per million tokens against $5 for Claude Haiku 4.5 — about 4.2×. 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. This compares standard short-context token rates, not total cost per accepted task. Include input, cache, context tiers, schedules, retries and review in your pilot.

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Evidence confidence: Medium

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.
  • 4/5 core specs verified on both sides — Not published for at least one side: parameter count.
  • No directly aligned benchmark setup — No benchmark has matching cited sources, source dates, units, effort and recorded run details on both models.
  • Verified within the last 90 days — Older of the two catalog checks was 25 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.

Related comparisons

Diving deeper on one model? Claude Haiku 4.5 · GPT-5.6 Luna

Common questions

Claude Haiku 4.5 vs GPT-5.6 Luna

Answered from the verified figures on this page rather than general guidance.

Is Claude Haiku 4.5 or GPT-5.6 Luna cheaper for input?
GPT-5.6 Luna is cheaper at $0.20 per million input tokens, against $1 for Claude Haiku 4.5 — roughly 5.0× the price. Estimate both input and output token volume for your workload. These are base rates; Claude Haiku 4.5: Standard $1/$5 per MTok; cache reads $0.10, 5-minute writes $1.25 and 1-hour writes $2. Batch $0.50/$2.50. Context 200K and output 64K. Reliable knowledge cutoff Feb 2025; training cutoff Jul 2025. The alias claude-haiku-4-5 resolves to claude-haiku-4-5-20251001. Retirement not sooner than October 15, 2026; no definite shutdown is announced. GPT-5.6 Luna: Launch $1/$6, reduced to $0.20/$1.20 on July 30. Above 272K input the full request bills $0.40/$1.80. Cached input $0.02; cache writes $0.25 at short context. Batch $0.10/$0.60 at short context. Regional/FedRAMP processing adds 10% where eligible.
Is Claude Haiku 4.5 or GPT-5.6 Luna cheaper for output?
GPT-5.6 Luna is cheaper at $1.20 per million output tokens, against $5 for Claude Haiku 4.5 — roughly 4.2× the price. Estimate both input and output token volume for your workload. These are base rates; Claude Haiku 4.5: Standard $1/$5 per MTok; cache reads $0.10, 5-minute writes $1.25 and 1-hour writes $2. Batch $0.50/$2.50. Context 200K and output 64K. Reliable knowledge cutoff Feb 2025; training cutoff Jul 2025. The alias claude-haiku-4-5 resolves to claude-haiku-4-5-20251001. Retirement not sooner than October 15, 2026; no definite shutdown is announced. GPT-5.6 Luna: Launch $1/$6, reduced to $0.20/$1.20 on July 30. Above 272K input the full request bills $0.40/$1.80. Cached input $0.02; cache writes $0.25 at short context. Batch $0.10/$0.60 at short context. Regional/FedRAMP processing adds 10% where eligible.
Which has the larger context window, Claude Haiku 4.5 or GPT-5.6 Luna?
GPT-5.6 Luna accepts 1.05M tokens against 200K for Claude Haiku 4.5. This only matters if you routinely send very long documents or large codebases.
Do Claude Haiku 4.5 and GPT-5.6 Luna support the same reasoning levels?
Claude Haiku 4.5 exposes extended thinking (budget_tokens), while GPT-5.6 Luna exposes none, low, medium, high, xhigh, max.
Should I use Claude Haiku 4.5 or GPT-5.6 Luna?
Both are classified in our budget tier; this editorial grouping does not imply equal capability. Claude Haiku 4.5 is a candidate for high-volume classification; GPT-5.6 Luna is a candidate for classification. Compare accuracy, tool reliability, latency and cost on representative tasks.

Next step

Choosing between them

The verified figures that separate this pair, computed from the catalog rather than restated boilerplate.

  • Input price: GPT-5.6 Luna costs $0.20 per 1M tokens versus $1 for Claude Haiku 4.5 — a 5x difference at the headline tier.
  • Context: GPT-5.6 Luna takes 1.05M against 200K for Claude Haiku 4.5 — only decisive if your prompts approach the smaller window.
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