whichllmmodel
Back to Dashboard
Anthropic

Claude Sonnet 4.6

VS
Google

Gemini 3.1 Flash-Lite

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

Decision Recommendation

👑 Editorial Verdict: Gemini 3.1 Flash-Lite strictly dominates Claude Sonnet 4.6 across all major dimensions. It is not only more cost-effective (blended cost of $0.56 vs $6.00 per 1M tokens) but also delivers superior coding accuracy (0% vs 0% on SWE-bench) and faster generation speeds (205 tps vs 54.3 tps). Unless you have platform lock-in, Gemini 3.1 Flash-Lite is the clear and optimal choice for all development workloads.

Model Specs

Claude Sonnet 4.6

Benchmarks & Scores

Coding (swe-bench-pro)
N/A
Reasoning (gpqa-diamond)
79.9%

Cost & Performance

Cost (per 1M tokens)
$6.00Input: $3.00 | Output: $15.00
Speed
54.3 tps
Context Window
1M tokens
Model Specs

Gemini 3.1 Flash-Lite

Benchmarks & Scores

Coding (swe-bench-pro)
N/A
Reasoning (gpqa-diamond)Winner (+7.0%)
86.9%

Cost & Performance

Cost (per 1M tokens)10.7x cheaper
$0.56Input: $0.25 | Output: $1.50
Speed3.8x faster
205 tps
Context Window
1M tokens

Frequently Asked Questions

Gemini 3.1 Flash-Lite is cheaper than Claude Sonnet 4.6. Gemini 3.1 Flash-Lite has a blended cost of $0.56/1M tokens, which is about 10.7x cheaper than Claude Sonnet 4.6 at $6.00/1M tokens.

Gemini 3.1 Flash-Lite is faster than Claude Sonnet 4.6. Gemini 3.1 Flash-Lite generates 205 tokens per second (tps) compared to Claude Sonnet 4.6 which generates 54.3 tokens per second.

Coding benchmark scores are not currently recorded for these models.

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