Claude Haiku 5.5 vs IBM Granite 4.2 8B
Claude Haiku 5.5 leads the LLM Stats Score 50.0 to 19.6. IBM Granite 4.2 8B is 1.9x cheaper per token.
Anthropic · IBM · Updated for 2026
Which is better?
Claude Haiku 5.5 leads the overall LLM Stats Score 50.0 to 19.6, ranking #19 overall.
In the 2 individual benchmarks reported for both models, Claude Haiku 5.5 wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, IBM Granite 4.2 8B is roughly 1.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude Haiku 5.5 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Claude Haiku 5.5
- overall performance matters — it scores 50.0 and ranks #19 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Oct 2026
Choose IBM Granite 4.2 8B
- cost matters — it's about 1.9x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
36 reported for Claude Haiku 5.5 · 18 for IBM Granite 4.2 8B
Claude Haiku 5.5 outperforms in 2 benchmarks (SWE-bench Multilingual, SWE-Bench Pro), while IBM Granite 4.2 8B is better at 0 benchmarks.
Claude Haiku 5.5 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Haiku 5.5 ($0.10/1M tokens) is 1.7x more expensive than IBM Granite 4.2 8B ($0.06/1M tokens).
For output processing, Claude Haiku 5.5 ($0.50/1M tokens) is 2.0x more expensive than IBM Granite 4.2 8B ($0.25/1M tokens).
In conclusion, Claude Haiku 5.5 is more expensive than IBM Granite 4.2 8B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Claude Haiku 5.5 accepts 1,000,000 input tokens compared to IBM Granite 4.2 8B's 131,072 tokens. IBM Granite 4.2 8B can generate longer responses up to 131,072 tokens, while Claude Haiku 5.5 is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Claude Haiku 5.5 supports multimodal inputs, whereas IBM Granite 4.2 8B does not.
Claude Haiku 5.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude Haiku 5.5
IBM Granite 4.2 8B
License
Usage and distribution terms
Claude Haiku 5.5 is licensed under a proprietary license, while IBM Granite 4.2 8B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Claude Haiku 5.5 was released on 2026-10-07, while IBM Granite 4.2 8B was released on 2026-08-25.
Claude Haiku 5.5 is 1 month newer than IBM Granite 4.2 8B.
Oct 7, 2026
1 days ago
1mo newerAug 25, 2026
1 months ago
Knowledge Cutoff
When training data ends
Claude Haiku 5.5 has a documented knowledge cutoff of 2026-06-01, while IBM Granite 4.2 8B's cutoff date is not specified.
We can confirm Claude Haiku 5.5's training data extends to 2026-06-01, but cannot make a direct comparison without IBM Granite 4.2 8B's cutoff date.
Jun 2026
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Provider Availability
Claude Haiku 5.5 is available from Anthropic. IBM Granite 4.2 8B is available from DeepInfra.
Claude Haiku 5.5
IBM Granite 4.2 8B
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Haiku 5.5 and IBM Granite 4.2 8B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Haiku 5.5 vs IBM Granite 4.2 8B.