Claude Haiku 5.5 vs K-EXAONE-236B-A23B
Claude Haiku 5.5 leads the LLM Stats Score 50.0 to 26.2. Claude Haiku 5.5 is 3.5x cheaper per token.
Anthropic · LG AI Research · Updated for 2026
Which is better?
Claude Haiku 5.5 leads the overall LLM Stats Score 50.0 to 26.2, ranking #19 overall.
On price, Claude Haiku 5.5 is roughly 3.5x 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 agents — it leads those capability indexes
- cost matters — it's about 3.5x cheaper per token
- 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 K-EXAONE-236B-A23B
- you want predictable pricing at $0.60/M input and $1.00/M output
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 · 6 for K-EXAONE-236B-A23B
Claude Haiku 5.5 and K-EXAONE-236B-A23Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
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 6.0x cheaper than K-EXAONE-236B-A23B ($0.60/1M tokens).
For output processing, Claude Haiku 5.5 ($0.50/1M tokens) is 2.0x cheaper than K-EXAONE-236B-A23B ($1.00/1M tokens).
In conclusion, K-EXAONE-236B-A23B is more expensive than Claude Haiku 5.5.*
* 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 K-EXAONE-236B-A23B's 32,768 tokens. Claude Haiku 5.5 can generate longer responses up to 128,000 tokens, while K-EXAONE-236B-A23B is limited to 32,768 tokens.
Input capabilities
Documented input modalities across available providers
Claude Haiku 5.5 supports multimodal inputs, whereas K-EXAONE-236B-A23B 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
K-EXAONE-236B-A23B
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Claude Haiku 5.5 was released on 2026-10-07, while K-EXAONE-236B-A23B was released on 2025-12-31.
Claude Haiku 5.5 is 9 months newer than K-EXAONE-236B-A23B.
Oct 7, 2026
1 days ago
9mo newerDec 31, 2025
9 months ago
Knowledge Cutoff
When training data ends
Claude Haiku 5.5 has a knowledge cutoff of 2026-06-01, while K-EXAONE-236B-A23B has a cutoff of 2025-10-01.
Claude Haiku 5.5 has more recent training data (up to 2026-06-01), making it potentially better informed about events through that date compared to K-EXAONE-236B-A23B (2025-10-01).
Jun 2026
8 mo newerOct 2025
Provider Availability
Claude Haiku 5.5 is available from Anthropic. K-EXAONE-236B-A23B is available from FriendliAI.
Claude Haiku 5.5
K-EXAONE-236B-A23B
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Haiku 5.5 and K-EXAONE-236B-A23B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Haiku 5.5 vs K-EXAONE-236B-A23B.