Menu

1 / 2

Benchmark Results: SmolLM3 3B, Phi-4-mini, DeepSeek V4, Grok 4.20 — Agent Coding Tested

DEV Community·Vilius·6 months ago
#SaThxmcU
#ai#benchmark#model#models#coding
Reading 0:00
15s threshold

The second round of the Works With Agents agent coding benchmark is in — 32 models tested this time, up from 10. And the results are not what anyone expected.

The headline: tiny models won

Rank Model Score

🥇 SmolLM3 3B 93.3

🥈 Phi-4-mini 90.0

🥉 Claude Sonnet 4 85.0

4 Qwen2.5 1.5B 85.0

5 Qwen2.5 3B 85.0

6 Granite 3.2 2B 82.5

7 Ministral 3B 81.7

8 Mistral Large 3 79.6

9 Gemma 4 31B 78.3

10 Gemma 4 26B A4B 78.3

A 3-billion-parameter model from Hugging Face scored 93.3 — eight points ahead of Claude Sonnet 4. Phi-4-mini (also a tiny model) took second at 90.0. Qwen2.5's 1.5B and 3B variants tied Claude at 85.0.

Frontier model results

Model Score

Claude Sonnet 4 85.0

Gemini 2.5 Flash 76.4

GPT-5.4 76.6

Kimi K2.6 75.0

Grok 4.20 75.0

MiniMax M2.7 69.9

DeepSeek V4 Flash 60.0

GPT-5.5 60.0

GPT-5.4 Pro 51.6

GPT-5.5 Pro 43.3

DeepSeek V4 Pro 38.3

Grok 4.20 debuted at 75.0 — tied with Kimi K2.6, ahead of its Fast sibling (74.9). DeepSeek V4 Pro scored 38.3, well below its Flash variant.…

Continue reading — create a free account

Join HashtagPLUS to read full articles, follow hashtags, vote, and join the conversation.