Claude Haiku 5.5 Is Here But There’s ONE BIG Problem!

Summary
This video, presented by the YouTube channel Universe of AI, covers Anthropic’s release of Claude Haiku 5.5, evaluating its capabilities, benchmarks, and multi-agent workflows. The creator breaks down its performance relative to Claude Haiku 4.5, Claude Sonnet 5.5, and OpenAI’s GPT-6 Luna, while analyzing community tests and highlighting a key drawback regarding token consumption and tiered pricing.

What is shown

• [00:00 - 00:35] Opening summary and clip showing an egg drop simulation test comparing Claude Opus 5.5 running alone versus Opus 5.5 orchestrating 10 Claude Haiku 5.5 subagents.
• [00:54 - 02:06] Anthropic benchmark comparison table for Claude Haiku 5.5 against Haiku 4.5, GPT-6 Luna, and Sonnet 5.5 across knowledge work, OSWorld 2.1, Humanity’s Last Exam, Terminal-Bench 4.0, SWE-bench, and Chartography.
• [04:04 - 04:57] Performance versus cost curves comparing effort levels (Low, Med, High, Max) across OSWorld 2.1 and GDPval-AA v2.1 benchmarks.
• [04:58 - 05:38] Official API pricing table showing tiered costs for Haiku 5.5 for prompts under and over 100k tokens alongside rates for Haiku 4.5 and Sonnet 5.5.
• [05:39 - 06:46] Anthropic’s egg drop test demonstration on Claude Managed Agents, showing execution speed, design attempts, and costs for Opus 5.5 alone versus Opus 5.5 paired with Haiku 5.5 subagents.
• [06:47 - 08:06] Community post by @notjazii comparing a 3D animated scene generation in Claude Code (Haiku 5.5) versus Grok Build (Grok 4.7).
• [08:07 - 08:57] Image generation test comparing controller outputs across GPT-6 Luna, Claude Haiku 5.5, and GPT-6.1 Sol.
• [08:58 - 09:50] 3D electric motor animation comparison between Haiku 5.5 ($0.44, 11m 13s) and Sonnet 5.5 ($4.98, 33m 3s) from @rubenssoto_ai.
• [09:51 - 10:22] Animated zebra generation test comparing Haiku 5.5 against GPT-6 Sol and GPT-6 Luna.
• [10:23 - 11:21] Community post by @atomic_chat showing a voxel pagoda project where Haiku 5.5 cost $24.96 versus GPT-6 Luna’s $1.91 due to high token volume.
• [11:22 - 13:47] Artificial Analysis benchmark posts and charts illustrating Haiku 5.5’s high output token consumption per task compared to GPT-6 Luna, Opus 5.5, and Fable 5.1.
• [13:48 - 14:20] Announcement post by Leen Lin detailing monthly API credits ($100 to $500) provided to Claude Max and Team subscribers.

Claims & numbers

• Cost reduction vs. Haiku 4.5: The presenter states Haiku 5.5 costs approximately 75% less on average to run than Haiku 4.5.
• Benchmark Scores:
  • Knowledge work (AA-Briefcase): Haiku 5.5 scored 1620 (Haiku 4.5: 735; GPT-6 Luna: 1437; Sonnet 5.5: 1840).
  • Knowledge work (AA-Briefcase v1): Haiku 5.5 scored 1578 (Haiku 4.5: 614; GPT-6 Luna: 1336; Sonnet 5.5: 1824).
  • OSWorld 2.1 (computer use, offline subset): Haiku 5.5 scored 72.4% (Haiku 4.5: 15.7%; GPT-6 Luna: 48.9%; Sonnet 5.5: 83.9%).
  • Humanity’s Last Exam (with tools): Haiku 5.5 scored 45.9% (Haiku 4.5: 10.2%; Sonnet 5.5: 56.9%).
  • Humanity’s Last Exam (no tools): Haiku 5.5 scored 57.4% (Haiku 4.5: 18.7%; Sonnet 5.5: 64.5%).
  • Terminal-Bench 4.0 (agentic coding): Haiku 5.5 scored 39.2% (Haiku 4.5: 0.0%; GPT-6 Luna: 16.4%; Sonnet 5.5: 70.6%).
  • SWE-bench: Haiku 5.5 scored 46.4% (GPT-6 Luna: 42.4%; Sonnet 5.5: 52.1%).
  • Visual reasoning (Chartography no tools): Haiku 5.5 scored 46.4% (Haiku 4.5: 6.4%; GPT-6 Luna: 29.1%; Sonnet 5.5: 61.6%).
  • Artificial Analysis Intelligence Index: Haiku 5.5 scored 43 (up 26 points from Haiku 4.5 at 17).
• Pricing structure:
  • Prompts under 100k tokens: $0.10 / 1M input tokens, $0.50 / 1M output tokens, $0.01 / 1M cache reads, $0.125 / 1M cache writes.
  • Prompts over 100k tokens: $0.50 / 1M input tokens, $2.50 / 1M output tokens (5x increase), $0.05 / 1M cache reads, $0.625 / 1M cache writes.
• Egg Drop Simulation: Opus 5.5 alone reached the 32 m goal in 3:37 across 25 designs for $0.47; Opus 5.5 with 10 Haiku 5.5 subagents completed the goal in 0:58 across 86 designs for $0.14.
• Token Hunger: Artificial Analysis data indicates Haiku 5.5 at maximum reasoning consumes approximately 162k–197k output tokens per task, about 3x more tokens than GPT-6 Luna and higher than Opus 5.5 Max (129k).
• Subscriber Credits: Anthropic provides $100/month for Max 1x, $200/month for Max 2x, and $500/month for Team subscribers in Claude API credits.

Notable quotes

• [00:10] “This is Haiku 5.5, which is their cheapest, fastest, and most capable small model that they have released, according to them.”
• [03:06] “They have mentioned that Haiku 5.5 is specifically designed for high-volume, cost-sensitive tasks...”
• [13:30] “...using it as a subagent where it’s not doing the thinking, I think that’s where it’s going to make sense to use Haiku 5.5.”

Assessment
This is a third-party tech review and commentary video synthesizing official Anthropic launch materials, benchmark charts, and community social media posts. The presenter relies on screenshots and third-party demonstration clips rather than running live interactive tests on screen.

Described by gemini-3.8-flash on 2026-10-10 from the video’s audio and frames.