Claude 3.5 Haiku vs Grok-2
Grok-2 leads the LLM Stats Score 11.5 to 5.3. Claude 3.5 Haiku is 2.5x cheaper per token.
Anthropic · xAI · Updated for 2026
Which is better?
Grok-2 leads the overall LLM Stats Score 11.5 to 5.3, ranking #247 overall.
In the 4 individual benchmarks reported for both models, Grok-2 wins 4; this is a narrower head-to-head signal than the composite indexes.
On price, Claude 3.5 Haiku is roughly 2.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude 3.5 Haiku also accepts a larger context window (200,000 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 3.5 Haiku
- cost matters — it's about 2.5x cheaper per token
- you process long inputs — it offers a 200,000 token context window
- you want the most recent training data — it shipped Oct 2024
Choose Grok-2
- overall performance matters — it scores 11.5 and ranks #247 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 4 of 4 exact shared results
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
9 reported for Claude 3.5 Haiku · 8 for Grok-2
Claude 3.5 Haiku outperforms in 0 benchmarks, while Grok-2 is better at 4 benchmarks (GPQA, HumanEval, MATH, MMLU-Pro).
Grok-2 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 3.5 Haiku ($0.80/1M tokens) is 2.5x cheaper than Grok-2 ($2.00/1M tokens).
For output processing, Claude 3.5 Haiku ($4.00/1M tokens) is 2.5x cheaper than Grok-2 ($10.00/1M tokens).
In conclusion, Grok-2 is more expensive than Claude 3.5 Haiku.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Claude 3.5 Haiku accepts 200,000 input tokens compared to Grok-2's 128,000 tokens. Claude 3.5 Haiku can generate longer responses up to 200,000 tokens, while Grok-2 is limited to 8,000 tokens.
Input capabilities
Documented input modalities across available providers
Grok-2 supports multimodal inputs, whereas Claude 3.5 Haiku does not.
Grok-2 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude 3.5 Haiku
Grok-2
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 3.5 Haiku was released on 2024-10-22, while Grok-2 was released on 2024-08-13.
Claude 3.5 Haiku is 2 months newer than Grok-2.
Oct 22, 2024
1.9 years ago
2mo newerAug 13, 2024
2.1 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Claude 3.5 Haiku is available from Bedrock, Google, Anthropic. Grok-2 is available from xAI.
Claude 3.5 Haiku
Grok-2
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude 3.5 Haiku and Grok-2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude 3.5 Haiku vs Grok-2.