whichllmmodel
Back to Dashboard
Anthropic

Claude Haiku 4.5

VS
Google

Gemini 3 Flash

✍️ Analysis by:the whichllmmodel Editorial Team|📅 Updated: June 2026

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, Gemini 3 Flash is the premium intelligence choice, scoring 4.9% higher on coding benchmarks. It also maintains strong cost efficiency. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Claude Haiku 4.5 offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of Gemini 3 Flash fully justifies the cost.

Model Specs

Claude Haiku 4.5

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+4.9%)
39.5%
Reasoning (gpqa-diamond)
73%

Cost & Performance

Cost (per 1M tokens)
$2.00Input: $1.00 | Output: $5.00
Speed
98.5 tps
Context Window
200k tokens
Model Specs

Gemini 3 Flash

Benchmarks & Scores

Coding (swe-bench-pro)
34.6%
Reasoning (gpqa-diamond)Winner (+17.4%)
90.4%

Cost & Performance

Cost (per 1M tokens)1.8x cheaper
$1.13Input: $0.50 | Output: $3.00
Speed1.6x faster
159 tps
Context WindowLarger
1M tokens
Read our data collection methodology

Frequently Asked Questions

Gemini 3 Flash is cheaper than Claude Haiku 4.5. Gemini 3 Flash has a blended cost of $1.13/1M tokens, which is about 1.8x cheaper than Claude Haiku 4.5 at $2.00/1M tokens.

Gemini 3 Flash is faster than Claude Haiku 4.5. Gemini 3 Flash generates 159 tokens per second (tps) compared to Claude Haiku 4.5 which generates 98.5 tokens per second.

Claude Haiku 4.5 is better for coding tasks. It scores 39.5% on coding evaluations (swe-bench-pro) compared to Gemini 3 Flash which scores 34.6%.

Want to customize weights or add more models?

Open our interactive dashboard where you can adjust your priority levels for speed, budget, or accuracy slider-bars and watch model rankings calculate dynamically.

Customize in Interactive Dashboard