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Best Coding AI Models 2026 — Live Leaderboard

This board ranks language models on their ability to write, debug, and explain code across popular languages and frameworks. The HuaLinYuan Index blends automated evaluation with expert review so you can see which models consistently deliver correct, idiomatic solutions.

Claude Opus 5.5 leads with a score of 1811, followed closely by GPT-6 Astra at 1780 and Claude Sonnet 5.5 at 1774. All three excel at multi-file refactoring, test generation, and explaining legacy codebases. The gap to the fourth-place model is noticeable, making the top trio the default choice for production-grade assistance.

#ModelIndexPrice $/1M in/out
1Claude Opus 5.5
Anthropic
1811$4 / $20
2GPT-6 Astra
OpenAI
1780$10 / $50
3Claude Sonnet 5.5
Anthropic
1774$2 / $10
4GPT-6.1 Sol
OpenAI
1760$2 / $10
5Claude Fable 5.1
Anthropic
1743$10 / $50
6Claude Opus 5
Anthropic
1690$5 / $25
7GPT-6 Sol
OpenAI
1686$2 / $10
8Gemini 4 Argon
Google
1678$2 / $10
9Qwen3.8 Max
Alibaba
1672$2 / $6
10Muse Spark 1.3
Meta
1659$1.25 / $4.25
11Kimi K3
Moonshot
1655$3 / $15Try
12Muse Wonder
Meta
1651$4 / $20
13Grok 4.7
SpaceXAI
1640$2 / $6
14MiMo V2.6 Flash
Xiaomi
1635$0.14 / $0.28
15Qwen3.8 Flash Next
Alibaba
1633—
16Hunyuan Hy4 Preview
Tencent
1632$0.834 / $2.50
17MiMo V2.6 Pro
Xiaomi
1625$0.435 / $0.87
18Claude Fable 5
Anthropic
1624$10 / $50
19GLM-5.3
Z.ai
1621$1.40 / $4.40Try
20DeepSeek V4.1 Flash
DeepSeek
1619$0.3 / $1.20Try
21Grok 4.6
SpaceXAI
1617$2 / $6
22GLM-5.3 Flash
Z.ai
1606$0.15 / $0.5Try
23GLM-5.2
Z.ai
1604$0.8 / $2.55
24Qwen3.8 27B
Alibaba
1594$0.5 / $3
25Gemini 3.7 Flash
Google
1590$0.75 / $3.75Try
26Claude Haiku 5.5
Anthropic
1585$0.1 / $0.5
27Gemini 3.8 Flash
Google
1585$0.75 / $3.75Try
28DeepSeek V4 Pro
DeepSeek
1582$0.66 / $1.98
29GPT-6 Luna
OpenAI
1582$0.1 / $0.5
30DeepSeek V4 Flash
DeepSeek
1582$0.13 / $0.26
31Step 5 Preview
StepFun
1564$1 / $2.70
32Claude Opus 4.8
Anthropic
1556$5 / $25
33Grok 4.5
SpaceXAI
1553$2 / $6
—Poolside Laguna XS 2.1
Poolside
—$0.09 / $0.18Try

How to choose

FAQ

What does the HuaLinYuan Index measure?

It combines pass rates on coding benchmarks, human preference votes, and expert audits into a single composite score. Higher numbers indicate more reliable, production-ready output.

Why are Anthropic and OpenAI models dominating the top?

Their recent releases show consistent gains in reasoning, context handling, and instruction following for software tasks, reflected in both automated tests and developer feedback.

Can I use these models directly from this page?

No. This leaderboard only ranks models. Click a model name to visit its provider's site for access, pricing, and API details.

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