whichllmmodel
Back to Dashboard
Anthropic

Claude Haiku 4.5

VS
Google

Gemma 4 26B A4B

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

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, Claude Haiku 4.5 is the premium intelligence choice, scoring 39.5% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Gemma 4 26B A4B is 1.0x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Gemma 4 26B A4B offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of Claude Haiku 4.5 fully justifies the cost.

Model Specs

Claude Haiku 4.5

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+)
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

Gemma 4 26B A4B

Benchmarks & Scores

Coding (swe-bench-pro)
N/A
Reasoning (gpqa-diamond)Winner (+9.3%)
82.3%

Cost & Performance

Cost (per 1M tokens)
N/AInput: N/A | Output: N/A
Speed
N/A
Context WindowLarger
262.14k tokens

Frequently Asked Questions

Pricing data is currently unavailable for one or both of these models, so a direct cost comparison cannot be determined.

Speed data is not available for Gemma 4 26B A4B, while Claude Haiku 4.5 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 Gemma 4 26B A4B which scores N/A.

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