Claude Haiku 5.5 vs GPT-6 Luna

$0.047 / task
Wins 5 of 17 benchmarks
$0.017 / task
Wins 5 of 17 benchmarks
AutomationBench-AA AutomationBench-AA: Agents orchestrate SaaS workflows through APIs; objectives receive credit only when the task has no guardrail violation
Haiku 5.528.6
GPT-6 Luna40.5
GDPval-AA (work tasks) 2.1 GDPval-AA (work tasks) 2.1: Real work tasks from many professions (reports, spreadsheets, analyses), graded against expert work
Haiku 5.538.7
GPT-6 Luna38.1
AA Analyst Agent AA Analyst Agent: Data-analyst tasks: the model explores data with tools and reports findings
Haiku 5.5 · max53.8
GPT-6 Luna · max43.8
Terminal-Bench 4.0 Terminal-Bench 4.0 · source setting 2: Agents use a terminal to complete executable coding, system administration and research tasks in the 4.0 suite
Haiku 5.515.2
GPT-6 Luna2.5
Terminal-Bench Science 0.1 Terminal-Bench Science 0.1: Agents complete expert-authored research workflows across five scientific domains in a terminal
Haiku 5.57.1
GPT-6 Luna · max8.6
AA-Briefcase 1.1 · Elo AA-Briefcase 1.1 · Elo: Agents produce professional deliverables; blind pairwise comparisons produce the source Elo rating
Haiku 5.51,371.5
GPT-6 Luna1,098.8
AA-LCR (long context) 1.1 AA-LCR (long context) 1.1: Questions that need reading and connecting facts across very long documents (around 100K tokens)
Haiku 5.577.3
GPT-6 Luna78.3
FrontierCode 1.1 FrontierCode 1.1: Agents implement changes in real repositories, graded against maintainer-defined requirements
Haiku 5.540.4
GPT-6 Luna · max41.9
Harvey LAB-AA 1.1 Harvey LAB-AA 1.1: Legal agents work from case documents; every rubric criterion must pass and material hallucinations receive no credit
Haiku 5.50.6
GPT-6 Luna · max3.3
Furniture Assembly Furniture Assembly: Models inspect furniture assembly photos, identify incorrect builds and locate the mistaken step
Haiku 5.5 · max47.5
GPT-6 Luna · max44.2
DeepSWE 1.1 DeepSWE 1.1: Agents change repository code to resolve software engineering tasks under the stated DeepSWE edition
Haiku 5.5—
GPT-6 Luna · max67
SWE-bench Pro (v2 full) SWE-bench Pro (v2 full): Agents resolve repository issues under the network-locked v2 protocol; full and 51-task Hard results are separate
Haiku 5.5 · high87.2
GPT-6 Luna—
SWE-bench Pro (v2 hard) SWE-bench Pro (v2 hard): Agents resolve repository issues under the network-locked v2 protocol; full and 51-task Hard results are separate
Haiku 5.5 · high52.9
GPT-6 Luna—
EBR Bench EBR Bench: Agents learn to play Earthborne Rangers across repeated playthroughs
Haiku 5.5 · max43.8
GPT-6 Luna—
SpireClimb SpireClimb: Agents play Slay the Spire under the named game and difficulty setting
Haiku 5.5—
GPT-6 Luna · max0
SpireClimb StS1 A20 Heart SpireClimb StS1 A20 Heart: Agents play Slay the Spire under the named game and difficulty setting
Haiku 5.5—
GPT-6 Luna · max0
SpireClimb StS2 A10 SpireClimb StS2 A10: Agents play Slay the Spire under the named game and difficulty setting
Haiku 5.5—
GPT-6 Luna · max0

Specs

SpecHaiku 5.5GPT-6 Luna
Input, per 1M$0.10$0.10
Output, per 1M$0.50$0.50
Cost per task?$0.047$0.017
Speed, tok/s179—
Context1M1.05M
WeightsClosedClosed
ReleasedOct 2026Sep 2026
See images✓✓
Read PDFsPartialPartial
Hear audio——
Watch video——
Call tools✓✓
Force a tool callPartialPartial
Return strict JSON✓✓
Search the web✓✓
Run code✓✓
Use a computer?✓

What breaks when you switch

Haiku 5.5 → GPT-6 Luna
Function calling only with none · Chat Completions›

Chat Completions function calling requires reasoning_effort none; use Responses for reasoning with tools.

More than 272K input tokens›

Prompts above 272K input tokens charge 2× input and cache rates and 1.5× output rates for the entire request.

Remove unsupported sampling parameters›

When reasoning effort is not none, remove temperature, top_p and top_logprobs, plus Chat Completions logprobs or Responses output logprobs inclusion.

Cache writes billed at 1.25x›

Cache writes cost 1.25× the uncached input token rate.

GPT-6 Luna → Haiku 5.5
Context: 1.05M → 1M
Remove sampling parameters›

Unsupported sampling values, any top_k or combined temperature and top_p return HTTP 400; omit all three and use prompting.

Replace manual thinking budgets›

Manual thinking with budget_tokens returns HTTP 400; replace the old thinking configuration.

No assistant prefill›

A final assistant prefill returns HTTP 400 even with thinking off; end messages with a user turn.

Replace old computer tool · Claude API / Google Cloud›

computer_20250124 returns HTTP 400 on the Claude API and Google Cloud; use computer_toolset_20260801 there.

Keep conversations append-only›

Replaying thinking after earlier history changes returns HTTP 400, with older accounts checked only when the binding field is set; keep history append-only.

Bedrock needs another computer version · Bedrock›

Bedrock does not accept computer_20250124; use computer_20251124 with the computer-use-2025-11-24 beta header.