Claude 3 Haiku vs Gemini 1.0 Pro
Claude 3 Haiku and Gemini 1.0 Pro are closely matched at -1.3 and -5.3 on the LLM Stats Score. Claude 3 Haiku is 1.5x cheaper per token.
Anthropic · Google · Updated for 2026
Which is better?
Claude 3 Haiku and Gemini 1.0 Pro are closely matched on the overall LLM Stats Score at -1.3 and -5.3.
In the 3 individual benchmarks reported for both models, Claude 3 Haiku wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Claude 3 Haiku is roughly 1.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude 3 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 Haiku
- you value its reported benchmark strengths — it wins 3 of 3 exact shared results
- cost matters — it's about 1.5x cheaper per token
- you process long inputs — it offers a 200,000 token context window
- you want the most recent training data — it shipped Mar 2024
Choose Gemini 1.0 Pro
- you want predictable pricing at $0.50/M input and $1.50/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
10 reported for Claude 3 Haiku · 9 for Gemini 1.0 Pro
Claude 3 Haiku outperforms in 3 benchmarks (GPQA, MATH, MMLU), while Gemini 1.0 Pro is better at 0 benchmarks.
Claude 3 Haiku 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 Haiku ($0.25/1M tokens) is 2.0x cheaper than Gemini 1.0 Pro ($0.50/1M tokens).
For output processing, Claude 3 Haiku ($1.25/1M tokens) is 1.2x cheaper than Gemini 1.0 Pro ($1.50/1M tokens).
In conclusion, Gemini 1.0 Pro is more expensive than Claude 3 Haiku.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Claude 3 Haiku accepts 200,000 input tokens compared to Gemini 1.0 Pro's 32,760 tokens. Claude 3 Haiku can generate longer responses up to 200,000 tokens, while Gemini 1.0 Pro is limited to 8,192 tokens.
Input capabilities
Documented input modalities across available providers
Claude 3 Haiku supports multimodal inputs, whereas Gemini 1.0 Pro does not.
Claude 3 Haiku can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude 3 Haiku
Gemini 1.0 Pro
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 Haiku was released on 2024-03-13, while Gemini 1.0 Pro was released on 2024-02-15.
Claude 3 Haiku is 1 month newer than Gemini 1.0 Pro.
Mar 13, 2024
2.5 years ago
3w newerFeb 15, 2024
2.6 years ago
Knowledge Cutoff
When training data ends
Gemini 1.0 Pro has a documented knowledge cutoff of 2024-02-01, while Claude 3 Haiku's cutoff date is not specified.
We can confirm Gemini 1.0 Pro's training data extends to 2024-02-01, but cannot make a direct comparison without Claude 3 Haiku's cutoff date.
—
Feb 2024
Provider Availability
Claude 3 Haiku is available from Anthropic, Bedrock, Google. Gemini 1.0 Pro is available from Google.
Claude 3 Haiku
Gemini 1.0 Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude 3 Haiku and Gemini 1.0 Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude 3 Haiku vs Gemini 1.0 Pro.