Model Comparison

Claude 3.5 Haiku vs Grok 4 FastWhich is better in 2026?

Grok 4 Fast significantly outperforms across most benchmarks. Grok 4 Fast is 5.8x cheaper per token.

Verdict: Claude 3.5 Haiku vs Grok 4 Fast — which is better?

Claude 3.5 Haiku (by Anthropic) and Grok 4 Fast (by xAI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Claude 3.5 Haiku outperforms in 0 benchmarks, while Grok 4 Fast is better at 1 benchmark (GPQA). Grok 4 Fast significantly outperforms across most benchmarks.

On price, Grok 4 Fast is roughly 5.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Grok 4 Fast also accepts a larger context window (2,000,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose Claude 3.5 Haiku if…

  • you want predictable pricing at $0.80/M input and $4.00/M output

Choose Grok 4 Fast if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • cost matters — it's about 5.8x cheaper per token
  • you process long inputs — it offers a 2,000,000 token context window
  • you want the most recent training data — it shipped Aug 2025

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Claude 3.5 Haiku outperforms in 0 benchmarks, while Grok 4 Fast is better at 1 benchmark (GPQA).

Grok 4 Fast significantly outperforms across most benchmarks.

Sat Jun 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Grok 4 Fast costs less

For input processing, Claude 3.5 Haiku ($0.80/1M tokens) is 4.0x more expensive than Grok 4 Fast ($0.20/1M tokens).

For output processing, Claude 3.5 Haiku ($4.00/1M tokens) is 8.0x more expensive than Grok 4 Fast ($0.50/1M tokens).

In conclusion, Claude 3.5 Haiku is more expensive than Grok 4 Fast.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Jun 06 2026 • llm-stats.com
Anthropic
Claude 3.5 Haiku
Input tokens$0.80
Output tokens$4.00
Best providerAWS Bedrock
xAI
Grok 4 Fast
Input tokens$0.20
Output tokens$0.50
Best providerxAI
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Grok 4 Fast accepts 2,000,000 input tokens compared to Claude 3.5 Haiku's 200,000 tokens. Claude 3.5 Haiku can generate longer responses up to 200,000 tokens, while Grok 4 Fast is limited to 30,000 tokens.

Anthropic
Claude 3.5 Haiku
Input200,000 tokens
Output200,000 tokens
xAI
Grok 4 Fast
Input2,000,000 tokens
Output30,000 tokens
Sat Jun 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Grok 4 Fast supports multimodal inputs, whereas Claude 3.5 Haiku does not.

Grok 4 Fast can handle both text and other forms of data like images, making it suitable for multimodal applications.

Claude 3.5 Haiku

Text
Images
Audio
Video

Grok 4 Fast

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Claude 3.5 Haiku

Proprietary

Closed source

Grok 4 Fast

Proprietary

Closed source

Release Timeline

When each model was launched

Claude 3.5 Haiku was released on 2024-10-22, while Grok 4 Fast was released on 2025-08-28.

Grok 4 Fast is 10 months newer than Claude 3.5 Haiku.

Claude 3.5 Haiku

Oct 22, 2024

1.6 years ago

Grok 4 Fast

Aug 28, 2025

9 months ago

10mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Claude 3.5 Haiku is available from Bedrock, Google, Anthropic. Grok 4 Fast is available from xAI.

Claude 3.5 Haiku

bedrock logo
AWS Bedrock
Input Price:Input: $0.80/1MOutput Price:Output: $4.00/1M
google logo
Google
Input Price:Input: $0.80/1MOutput Price:Output: $4.00/1M
anthropic logo
Anthropic
Input Price:Input: $1.00/1MOutput Price:Output: $5.00/1M

Grok 4 Fast

xai logo
xAI
Input Price:Input: $0.20/1MOutput Price:Output: $0.50/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

No standout differentiators in the data we have for this pair.

Larger context window (2,000,000 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (85.7% vs 41.6%)

Detailed Comparison

AI Model Comparison Table
Feature
Anthropic
Claude 3.5 Haiku
xAI
Grok 4 Fast

FAQ

Common questions about Claude 3.5 Haiku vs Grok 4 Fast.

Which is better, Claude 3.5 Haiku or Grok 4 Fast?

Grok 4 Fast significantly outperforms across most benchmarks. Claude 3.5 Haiku is made by Anthropic and Grok 4 Fast is made by xAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Claude 3.5 Haiku compare to Grok 4 Fast in benchmarks?

Claude 3.5 Haiku scores HumanEval: 88.1%, MGSM: 85.6%, DROP: 83.1%, MATH: 69.4%, MMLU-Pro: 65.0%. Grok 4 Fast scores SimpleQA: 95.0%, HMMT 2025: 93.3%, AIME 2025: 92.0%, GPQA: 85.7%, LiveCodeBench: 80.0%.

Is Claude 3.5 Haiku cheaper than Grok 4 Fast?

Grok 4 Fast is 4.0x cheaper for input tokens. Claude 3.5 Haiku costs $0.80/M input and $4.00/M output via bedrock. Grok 4 Fast costs $0.20/M input and $0.50/M output via xai.

What are the context window sizes for Claude 3.5 Haiku and Grok 4 Fast?

Claude 3.5 Haiku supports 200K tokens and Grok 4 Fast supports 2.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Claude 3.5 Haiku and Grok 4 Fast?

Key differences include context window (200K vs 2.0M), input pricing ($0.80 vs $0.20/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude 3.5 Haiku and Grok 4 Fast?

Claude 3.5 Haiku is developed by Anthropic and Grok 4 Fast is developed by xAI.