2026 Live Verified

AI Coding Models Leaderboard

Aggregated mirrors of 7 official benchmark boards and real-world coding task scenarios. 100% verified, objective, and zero paid placement.

7Boards
105Models ranked
4Evaluation Tasks
October 2026Period
2026-10-25Last update
โ—We fetch raw rankings from 5 public benchmark providers across 7 official boards โ€” no re-weighting, no composite score. Click "Open official board" on each card to go to the source.
๐ŸงฉTool Matrixโš”๏ธVS Compare๐Ÿ’ณPlans
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๐Ÿ“Œ 7 official boards ยท mirrored 1:1

Each card previews a provider's Top 5. Click "View full" for the complete board, or jump to the official page. Data is 100% from each provider โ€” we do no aggregation or math.

LMArena Code โ˜…
Human preference blind battle coding Elo leaderboard
Coding
Metric:Coding Eloยท 54 models
  1. #1Claude Opus 5.51813
  2. #2GPT-6 Astra1786.1
  3. #3Claude Sonnet 5.51774.3
  4. #4GPT-6.1 Sol1755.4
  5. #5Claude Fable 5.11743.7
Official โ†—
LMArena Agent
Human preference on real agentic coding sessions
Agent
Metric:Agent Scoreยท 37 models
  1. #1Claude Opus 5.515.53
  2. #2GPT-6 Astra13.09
  3. #3Claude Fable 5.112.66
  4. #4Claude Sonnet 5.511.95
  5. #5GPT-6.1 Sol11.72
Official โ†—
CursorBench
Cursor's first-party agentic coding benchmark (v4.0)
Agent
Metric:Pass rate%ยท 17 models
  1. #1Claude Opus 5.557.8%
  2. #2Claude Sonnet 5.555.5%
  3. #3Gemini 4 Argon52.9%
  4. #4Claude Fable 5.151.8%
  5. #5Muse Wonder50.4%
Official โ†—
Artificial Analysis
Independent industry standard Intelligence Index
Overall
Metric:Intelligence Indexยท 49 models
  1. #1Claude Opus 5.557.6
  2. #2Claude Sonnet 5.556
  3. #3Muse Wonder Full55.8
  4. #4Kimi K3.1 Pro55.1
  5. #5Claude Fable 5.153.4
Official โ†—
Vals AI
Independent evaluations on real-world tasks in software, finance & cybersecurity
Overall
Metric:Accuracy%ยท 20 models
  1. #1Claude Sonnet 5.570.8%
  2. #2Claude Opus 5.570.2%
  3. #3Gemini 4 Argon69.2%
  4. #4Muse Wonder Full66.8%
  5. #5GPT-6 Astra65.0%
Official โ†—
LiveBench
Contamination-resistant coding suite (completion, generation, JS, Python, TS)
Coding
Metric:Score%ยท 23 models
  1. #1GPT-6 Astra86.5%
  2. #2Claude Fable 5.186.1%
  3. #3Claude Opus 5.586.0%
  4. #4GPT-6.1 Sol85.6%
  5. #5Gemini 4 Argon81.5%
Official โ†—
LMArena Text
Chatbot Arena text and general capability Elo rating
Chat
Metric:Arena Eloยท 94 models
  1. #1Gemini 4 Argon1517
  2. #2Claude Opus 5.51509
  3. #3Muse Wonder1509
  4. #4Claude Fable 51503
  5. #5Claude Fable 5.11503
Official โ†—

LMArena CodeCoding

Metric: Coding Eloยท54 modelsยทfetched 2026-10-12

Open official board โ†—
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#ModelCoding EloValue ScoreCross-board ranksActions
#11813
19.7
L #1
C #1
A #1
V #2
L #3
L #2
#21786.1
7.9
L #2
Cโ€”
A #6
V #5
L #1
L #22
#31774.3
37.4
L #4
C #2
A #2
V #1
L #6
L #20
#41755.4
38.5
L #5
Cโ€”
A #9
V #7
L #4
L #19
#51743.7
7.6
L #3
C #4
A #5
Vโ€”
L #2
L #5
#6
Claude Opus 5Anthropic
1691.3
4.5
L #9
C #7
Aโ€”Vโ€”Lโ€”
L #9
#7
GPT-6 SolOpenAI
1688.2
38.3
L #6
Cโ€”Aโ€”Vโ€”Lโ€”
L #37
#81677.8
35.8
L #7
C #3
A #7
V #3
L #5
L #1
#91673.5
43.8
L #21
Cโ€”
A #11
V #11
L #19
L #16
#101656.9
59.5
L #14
C #11
A #19
V #20
L #18
L #8
#11
Kimi K3Moonshot AI
1654.4
21.6
L #16
Cโ€”Aโ€”
V #18
L #15
L #11
#121639.1
41.3
L #19
C #8
A #10
V #13
L #10
L #49
#13
Hunyuan-T1Tencent
1631.8
481.9
L #17
Cโ€”
A #29
V #16
Lโ€”
L #40
#141630
282.1
Lโ€”Cโ€”
A #12
V #9
L #7
L #23
#151624.7
7.5
L #8
Cโ€”Aโ€”Vโ€”Lโ€”
L #4
#16
GLM-5.3Zhipu AI
1622.2
56.5
L #22
C #9
A #13
V #10
L #17
L #18
#171618.6
406.7
L #15
Cโ€”Aโ€”Vโ€”Lโ€”
L #51
#181618.3
11.2
L #11
C #10
Aโ€”Vโ€”Lโ€”
L #14
#191617.2
40.1
L #27
C #12
Aโ€”Vโ€”
L #12
L #26
#20
GLM-5.2Zhipu AI
1603.2
63.1
L #18
Cโ€”Aโ€”Vโ€”Lโ€”
L #24
#211592.8
256.6
L #30
Cโ€”
A #25
Vโ€”
L #21
L #52
#221591.5
84.4
L #31
Cโ€”Aโ€”Vโ€”Lโ€”
L #10
#231586.9
68
Lโ€”Cโ€”Aโ€”Vโ€”Lโ€”
L #61
#241583.5
78
L #20
C #14
A #17
V #14
L #20
L #7
#251582
120.5
L #24
Cโ€”
A #22
V #17
Lโ€”
L #33
#261580.9
597.9
L #23
Cโ€”
A #21
V #19
L #16
L #46
#271557.5
14.2
L #10
Cโ€”Aโ€”Vโ€”Lโ€”
L #6
#281552.8
42.3
L #25
Cโ€”Aโ€”Vโ€”Lโ€”
L #31
#29
Mistral Large 3Mistral AI
1541.3
35.2
L #33
Cโ€”
A #20
Vโ€”
L #23
L #53
#301540.8
28.6
L #12
C #16
Aโ€”Vโ€”Lโ€”
L #34
#311537.8
74
L #35
Cโ€”Aโ€”Vโ€”Lโ€”
L #15
#321522.4
22.9
Lโ€”Cโ€”Aโ€”Vโ€”Lโ€”
L #28
#331521.8
26.1
L #28
C #13
A #16
Vโ€”
L #13
L #29
#341519.1
121.5
Lโ€”Cโ€”
A #36
Vโ€”Lโ€”
L #38
#351519
232.4
L #29
C #15
Aโ€”Vโ€”Lโ€”
L #41
#361515.1
198
L #32
Cโ€”
A #30
Vโ€”Lโ€”
L #27
#37
GPT-5.5OpenAI
1512.7
16.5
L #13
Cโ€”
A #26
Vโ€”Lโ€”
L #17
#381510.5
40.5
Lโ€”Cโ€”Aโ€”Vโ€”Lโ€”
L #21
#39
Kimi K2.6Moonshot AI
1509.1
60.4
Lโ€”Cโ€”
A #44
Vโ€”Lโ€”
L #35
#40
GLM-5.1Zhipu AI
1508.3
62.5
Lโ€”Cโ€”Aโ€”Vโ€”Lโ€”
L #32
#411482.3
202.1
Lโ€”Cโ€”
A #35
Vโ€”Lโ€”
L #36
#42
MiniMax-M3MiniMax
1481.7
211.8
L #34
Cโ€”
A #15
V #15
L #14
L #50
#43
Kimi K2.7 CodeMoonshot AI
1473.4
42.3
Lโ€”Cโ€”
A #28
Vโ€”Lโ€”Lโ€”
#44
GPT-5.4OpenAI
1465.3
27.6
L #26
Cโ€”Aโ€”Vโ€”Lโ€”
L #25
#451446.7
46.3
L #36
Cโ€”
A #27
Vโ€”Lโ€”
L #12
#461439.7
124.8
Lโ€”Cโ€”
A #33
Vโ€”Lโ€”
L #39
#471439.5
49.3
Lโ€”Cโ€”Aโ€”Vโ€”Lโ€”
L #13
#48
GLM-4-PlusZhipu AI
1435
86.9
Lโ€”Cโ€”Aโ€”Vโ€”Lโ€”
L #48
#491397.9
215.1
Lโ€”Cโ€”Aโ€”Vโ€”Lโ€”
L #60
#501397.3
449.8
Lโ€”Cโ€”Aโ€”Vโ€”Lโ€”
L #42
#51
DeepSeek-V3DeepSeek
1362.2
630
Lโ€”Cโ€”Aโ€”Vโ€”Lโ€”
L #57
#521357.1
71.9
Lโ€”Cโ€”Aโ€”Vโ€”Lโ€”
L #47
#531263.5
82.9
L #37
Cโ€”
A #37
Vโ€”Lโ€”
L #55
#541227.4
29.5
Lโ€”Cโ€”
A #23
Vโ€”Lโ€”
L #43
Rank color:#1#2#3#4-5#6-10#11+

The "Cross-board ranks" column shows this model's rank on the other boards at a glance (grey = not tested there). Boards use different methodologies, so raw values are not directly comparable.

LMArena Code board: LMSYS Coding Arena Elo ratings based on real developer blind tests on challenging code prompts. Sourced directly from arena.ai/leaderboard/code and mirrored 1:1.

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๐Ÿ“Š 7 benchmark boards

LMArena Code board: LMSYS Coding Arena Elo ratings based on real developer blind tests on challenging code prompts. Sourced directly from arena.ai/leaderboard/code and mirrored 1:1.

Coding Elo54 models

LMArena Agent board: real agentic coding sessions scored by human blind votes (signal-based agent score). Sourced from arena.ai/leaderboard/agent and mirrored 1:1.

Agent Score37 models

CursorBench is Cursor's first-party agentic coding benchmark (v4.0). Tasks come from real Cursor sessions with ambiguous, multi-file requirements. Metric: pass rate (%). Mirrored from Cursor's official cursor.com/cursorbench snapshot.

Pass rate%17 models

Artificial Analysis Intelligence Index: Tracks reasoning, quality, and coding intelligence across 600+ models, continuously updated as new frontier models release.

Intelligence Index49 models

Vals AI (Vals Index): Independent benchmarks evaluating frontier AI models on economically valuable real-world tasks across software, finance, cybersecurity, and agent autonomy. Metric: Accuracy (%). Sourced directly from vals.ai and mirrored 1:1.

Accuracy%20 models

LiveBench Coding: Monthly refreshed contamination-resistant suite extracting code completion, generation, JavaScript, Python, and TypeScript performance.

Score%23 models

LMArena Text board: The global standard LMSYS Chatbot Arena tracking cross-domain text generation and complex instruction-following Elo ratings from arena.ai/leaderboard/text.

Arena Elo94 models

All rankings and numbers come directly from official sources; we only do name matching and aggregate presentation, no weighting or re-ranking. Boards use different methodologies, so do not compare raw values across boards.