SmophyAI

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Coding · benchmark vs real usage

Best AI model for coding: benchmarks vs. what developers use

On coding benchmarks, Anthropic: Claude Fable 5.1 (batch) leads with a coding index of 81.6. But in real production traffic across file I/O, debugging, code review, and code generation tasks, Z.ai: GLM 5.3 Flash (batch) handles the largest share at 24.7%- measured directly from OpenRouter's task-classified traffic, not a benchmark opinion.

  1. #1 Z.ai: GLM 5.3 Flash (batch) - 24.7% of coding traffic · coding index 71.5
  2. #2 DeepSeek: DeepSeek V4.1 Flash (batch) - 21.4% of coding traffic
  3. #3 OpenAI: GPT-5.6 Luna (batch) - 13.1% of coding traffic · coding index 71.4
  4. #4 Xiaomi: MiMo-V2.5 - 9.2% of coding traffic · coding index 56.8
  5. #5 DeepSeek: DeepSeek V4 Flash 0423 - 8.1% of coding traffic · coding index 69.1
  6. #6 Tencent: Hy4 preview - 4.9% of coding traffic
  7. #7 Z.ai: GLM 5.3 (batch) - 4.4% of coding traffic · coding index 74.8
  8. #8 NVIDIA: Nemotron 3 Ultra (free) - 4.2% of coding traffic · coding index 49.3
  9. #9 Z.ai: GLM 5.2 (free) - 2.0% of coding traffic · coding index 68.8
  10. #10 OpenAI: GPT-6 Astra (batch) - 1.6% of coding traffic · coding index 76.9
  11. #11 Google: Gemini 3.8 Flash (batch) - 1.5% of coding traffic · coding index 76.3
  12. #12 Tencent: Hy3 - 1.4% of coding traffic
  13. #13 Meta: Muse Spark 1.3 Contributor - 1.3% of coding traffic
  14. #14 OpenAI: GPT-5.6 Sol (batch) - 1.1% of coding traffic · coding index 77.4
  15. #15 Upstage: Solar Pro 4 - 0.7% of coding traffic · coding index 52.7
Ranked by real coding-task usage share
#ModelCoding traffic shareCoding index
01Z.ai: GLM 5.3 Flash (batch)24.7%71.5
02DeepSeek: DeepSeek V4.1 Flash (batch)21.4%-
03OpenAI: GPT-5.6 Luna (batch)13.1%71.4
04Xiaomi: MiMo-V2.59.2%56.8
05DeepSeek: DeepSeek V4 Flash 04238.1%69.1
06Tencent: Hy4 preview4.9%-
07Z.ai: GLM 5.3 (batch)4.4%74.8
08NVIDIA: Nemotron 3 Ultra (free)4.2%49.3
09Z.ai: GLM 5.2 (free)2.0%68.8
10OpenAI: GPT-6 Astra (batch)1.6%76.9
11Google: Gemini 3.8 Flash (batch)1.5%76.3
12Tencent: Hy31.4%-
13Meta: Muse Spark 1.3 Contributor1.3%-
14OpenAI: GPT-5.6 Sol (batch)1.1%77.4
15Upstage: Solar Pro 40.7%52.7
16DeepSeek: DeepSeek V4 Pro 04230.6%68.8

Coding traffic share is a weighted rollup of OpenRouter's real classified traffic across nine coding-task categories (file I/O, repo scanning, frontend/UI, DevOps config, shell execution, SQL/database, debugging, code review, code generation), weighted by each category's own share of total classified traffic.

Frequently asked questions

What is the best AI model for coding?

On benchmarks, Anthropic: Claude Fable 5.1 (batch) leads coding tasks with a coding index of 81.6. In real usage, Z.ai: GLM 5.3 Flash (batch) handles the largest share of actual coding traffic (25%).

What model do developers actually use for coding?

Z.ai: GLM 5.3 Flash (batch) handles 24.7% of real coding-task traffic on OpenRouter, measured across file I/O, debugging, code review, and code generation tasks.