2026 Live Verified

AI Coding Models Leaderboard

Aggregated mirrors of 8 official benchmark boards and real-world coding task scenarios. 100% verified, objective, and zero paid placement.

8Boards
112Models ranked
4Evaluation Tasks
November 2026Period
2026-11-15Last update
โ—We fetch raw rankings from 6 public benchmark providers across 8 official boards โ€” no re-weighting, no composite score. Click "Official โ†—" at the bottom of each card to go to the source.
๐ŸงฉTool Matrixโš”๏ธVS Compare๐Ÿ’ณPlans
ADSponsored

๐Ÿ“Œ 8 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 70 models
  1. #1Claude Fable 5.21837.8
  2. #2Claude Opus 5.51814.7
  3. #3Claude Sonnet 5.51772.3
  4. #4Gemini 4 Carbon1768.2
  5. #5GPT-6 Astra1763.8
Official โ†—
LMArena Agent
Human preference on real agentic coding sessions
Agent
Metric:Agent Scoreยท 45 models
  1. #1Claude Fable 5.230.48
  2. #2Claude Opus 5.519.51
  3. #3Gemini 4 Carbon16.9
  4. #4Claude Sonnet 5.516.07
  5. #5Gemini 4 Hydrogen14.8
Official โ†—
CursorBench
Cursor's first-party agentic coding benchmark (v4.0)
Agent
Metric:Pass rate%ยท 21 models
  1. #1Gemini 4 Carbon60.4%
  2. #2Claude Fable 5.260.0%
  3. #3Claude Opus 5.557.8%
  4. #4Gemini 4 Hydrogen57.8%
  5. #5Claude Sonnet 5.555.5%
Official โ†—
GDPx (SemiAnalysis)
SemiAnalysis general agentic benchmark across 11 high-value domains (206 tasks)
Agent
Metric:Pass@1%ยท 20 models
  1. #1Claude Fable 5.216.4%
  2. #2Claude Opus 5.512.0%
  3. #3Gemini 4 Carbon10.9%
  4. #4GPT-6 Astra9.6%
  5. #5Muse Wonder Full9.0%
Official โ†—
Artificial Analysis
Independent industry standard Intelligence Index
Overall
Metric:Intelligence Indexยท 34 models
  1. #1Claude Fable 5.264.6
  2. #2Gemini 4 Carbon60
  3. #3Claude Opus 5.559.1
  4. #4GPT-6 Astra56.9
  5. #5GPT-6.1 Sol54.6
Official โ†—
Vals AI
Independent evaluations on real-world tasks in software, finance & cybersecurity
Overall
Metric:Accuracy%ยท 28 models
  1. #1Claude Fable 5.271.3%
  2. #2Claude Sonnet 5.570.8%
  3. #3Gemini 4 Carbon70.5%
  4. #4Claude Opus 5.570.1%
  5. #5Gemini 4 Argon69.4%
Official โ†—
LiveBench
Contamination-resistant coding suite (completion, generation, JS, Python, TS)
Coding
Metric:Score%ยท 26 models
  1. #1GPT-6 Astra85.8%
  2. #2Claude Fable 5.285.6%
  3. #3Claude Fable 5.185.1%
  4. #4Gemini 4 Carbon84.8%
  5. #5Claude Opus 5.584.7%
Official โ†—
LMArena Text
Chatbot Arena text and general capability Elo rating
Chat
Metric:Arena Eloยท 99 models
  1. #1Gemini 4 Carbon1526.2
  2. #2Gemini 4 Argon1521.7
  3. #3Muse Wonder1510.9
  4. #4Claude Opus 5.51506.8
  5. #5Claude Fable 51504
Official โ†—

LMArena CodeCoding

Metric: Coding Eloยท70 modelsยทfetched 2026-11-15

Open official board โ†—
โœจ

Not sure which model fits your budget & stack?

Try 4-Way Plan Showdowns & $20/mo vs API Cost Break-Even Meter

Compare Plans & Costsโ†—
#ModelCoding EloValue ScoreCross-board ranksActions
#11837.8
9.9
L #1
C #2
G #1
A #1
V #1
L #2
Lโ€”
#21814.7
18.3
L #2
C #3
G #2
A #3
V #4
L #5
L #4
#31772.3
33.5
L #4
C #5
G #9
A #6
V #2
L #10
L #31
#41768.2
36
L #3
C #1
G #3
A #2
V #3
L #4
L #1
#51763.8
7.1
L #7
Cโ€”
G #4
A #4
V #8
L #1
L #29
#61743.3
34
L #8
Cโ€”
G #8
A #5
V #10
L #6
L #22
#71741.9
6.6
L #6
C #7
G #6
Aโ€”Vโ€”
L #3
L #7
#81723.5
15.5
L #11
Cโ€”
G #5
A #10
V #7
Lโ€”Lโ€”
#91704.2
45.9
L #5
C #4
Gโ€”
A #7
V #6
L #9
L #10
#10
Claude Opus 5Anthropic
1690.9
4.2
L #13
C #10
Gโ€”Aโ€”Vโ€”Lโ€”
L #11
#11
Kimi K3.1 ProMoonshot AI
1687.2
32.4
L #16
Cโ€”Gโ€”
A #11
V #11
L #13
L #17
#121681
31.9
L #10
C #6
G #10
A #9
V #5
L #8
L #2
#131678.1
62.6
L #9
Cโ€”
G #7
A #8
V #13
L #7
Lโ€”
#141676.3
35.3
L #31
Cโ€”
G #18
A #17
V #17
L #22
L #18
#15
GPT-6 SolOpenAI
1672.6
33.3
L #14
Cโ€”Gโ€”Aโ€”Vโ€”Lโ€”
L #40
#161668
284.7
Lโ€”Cโ€”Gโ€”Aโ€”Vโ€”Lโ€”Lโ€”
#171663.7
227.2
L #22
Cโ€”
G #12
A #18
V #12
L #12
L #26
#18
Kimi K3Moonshot AI
1657.8
17.9
L #28
Cโ€”
G #17
Aโ€”
V #25
L #18
L #13
#191655.1
48
L #21
C #14
G #20
A #27
V #28
L #17
L #9
#201647.4
14.5
L #25
C #8
G #11
A #12
V #9
L #11
L #3
#21
Inkling 2 SmallThinking Machines
1647.1
232.7
L #18
Cโ€”Gโ€”
A #21
V #21
Lโ€”
L #66
#221640.7
34.6
L #19
C #11
G #16
A #15
V #19
L #16
L #49
#231631.7
86.2
L #15
Cโ€”Gโ€”
A #16
V #16
Lโ€”Lโ€”
#241625.4
6.7
L #12
Cโ€”Gโ€”Aโ€”Vโ€”Lโ€”
L #5
#251623.7
40.2
L #38
Cโ€”Gโ€”
A #23
Vโ€”Lโ€”Lโ€”
#26
GLM-5.3Zhipu AI
1622.5
45.1
L #27
C #12
G #19
A #19
V #15
Lโ€”
L #20
#271618.1
37.3
L #32
C #15
Gโ€”Aโ€”Vโ€”
L #20
L #41
#281615.2
10.3
L #17
C #13
Gโ€”Aโ€”Vโ€”Lโ€”
L #16
#291608.8
426.7
L #36
C #18
Gโ€”
A #25
V #27
L #21
L #24
#301608.8
524.5
L #23
Cโ€”Gโ€”
A #14
V #14
Lโ€”Lโ€”
#31
GLM-5.2Zhipu AI
1607.7
57
L #30
Cโ€”Gโ€”Aโ€”Vโ€”Lโ€”
L #27
#321593.4
51.5
L #29
C #9
G #14
A #13
V #18
L #15
L #61
#331589.7
219
L #39
Cโ€”Gโ€”
A #30
Vโ€”
L #26
L #56
#341588
79.9
L #34
Cโ€”Gโ€”Aโ€”Vโ€”Lโ€”
L #12
#351583.9
338.3
L #35
Cโ€”
G #15
A #22
V #23
L #19
Lโ€”
#361583.5
70.9
L #20
C #17
Gโ€”
A #20
V #22
L #25
L #8
#371581.7
412.9
Lโ€”Cโ€”Gโ€”Aโ€”Vโ€”Lโ€”
L #54
#381581
141.5
Lโ€”Cโ€”Gโ€”Aโ€”Vโ€”Lโ€”
L #36
#391577.2
497.7
L #26
Cโ€”
G #13
A #24
V #26
L #23
L #53
#40
Mistral Large 4Mistral AI
1564.5
49.1
L #40
Cโ€”Gโ€”
A #26
V #20
L #24
L #62
#411557
14.3
Lโ€”Cโ€”Gโ€”Aโ€”Vโ€”Lโ€”
L #6
#421552.6
45.7
Lโ€”Cโ€”Gโ€”Aโ€”Vโ€”Lโ€”
L #34
#431539
25.9
L #24
C #20
Gโ€”Aโ€”Vโ€”Lโ€”
L #38
#441537.7
92
Lโ€”Cโ€”Gโ€”Aโ€”Vโ€”Lโ€”
L #19
#451522.2
22.4
Lโ€”Cโ€”Gโ€”Aโ€”Vโ€”Lโ€”
L #32
#461520.1
24.1
L #33
C #16
Gโ€”Aโ€”Vโ€”
L #14
L #33
#471519.2
242.3
Lโ€”
C #19
Gโ€”Aโ€”Vโ€”Lโ€”
L #45
#481515.1
203.8
L #41
Cโ€”Gโ€”Aโ€”Vโ€”Lโ€”
L #30
#49
GPT-5.5OpenAI
1512.1
18
Lโ€”Cโ€”Gโ€”Aโ€”Vโ€”Lโ€”
L #21
#50
Kimi K2.6Moonshot AI
1509.3
81.8
Lโ€”Cโ€”Gโ€”Aโ€”Vโ€”Lโ€”
L #37
#51
GLM-5.1Zhipu AI
1508.1
61.2
Lโ€”Cโ€”Gโ€”Aโ€”Vโ€”Lโ€”
L #35
#521506
39.6
Lโ€”Cโ€”Gโ€”Aโ€”Vโ€”Lโ€”
L #23
#53
MiniMax-M3MiniMax
1484.1
163.4
L #43
Cโ€”Gโ€”
A #31
Vโ€”Lโ€”
L #55
#541482.3
243.6
Lโ€”Cโ€”Gโ€”Aโ€”Vโ€”Lโ€”
L #39
#55
Kimi K2.7 CodeMoonshot AI
1474.2
45.1
Lโ€”Cโ€”Gโ€”Aโ€”Vโ€”Lโ€”Lโ€”
#56
GPT-5.4OpenAI
1461.7
22.7
Lโ€”Cโ€”Gโ€”Aโ€”Vโ€”Lโ€”
L #25
#571446.4
48.4
L #37
Cโ€”Gโ€”Aโ€”Vโ€”Lโ€”
L #14
#581440.7
48.4
Lโ€”Cโ€”Gโ€”Aโ€”Vโ€”Lโ€”
L #15
#59
GLM-4-PlusZhipu AI
1434.7
85.3
Lโ€”Cโ€”Gโ€”Aโ€”Vโ€”Lโ€”
L #52
#601432
107.9
Lโ€”Cโ€”Gโ€”
A #32
Vโ€”Lโ€”
L #44
#611397.7
68.7
Lโ€”Cโ€”Gโ€”Aโ€”Vโ€”Lโ€”
L #46
#621397.7
211.4
Lโ€”Cโ€”Gโ€”Aโ€”Vโ€”Lโ€”
L #63
#63
DeepSeek-V3DeepSeek
1362.5
619.2
Lโ€”Cโ€”Gโ€”Aโ€”Vโ€”Lโ€”
L #59
#641357.3
70.6
Lโ€”Cโ€”Gโ€”Aโ€”Vโ€”Lโ€”
L #51
#651330.4
51.4
Lโ€”Cโ€”Gโ€”Aโ€”Vโ€”Lโ€”
L #65
#661263.1
74.2
L #44
Cโ€”Gโ€”
A #33
Vโ€”Lโ€”
L #58
#671243.1
506
Lโ€”Cโ€”Gโ€”Aโ€”Vโ€”Lโ€”
L #70
#681241.6
370.8
Lโ€”Cโ€”Gโ€”Aโ€”Vโ€”Lโ€”
L #28
#69
Mistral Large 3Mistral AI
1232.3
30.5
Lโ€”Cโ€”Gโ€”Aโ€”Vโ€”Lโ€”
L #64
#701227.7
25.1
Lโ€”Cโ€”Gโ€”
A #28
Vโ€”Lโ€”
L #47
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.

ADSponsored
๐Ÿ“Š 8 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 Elo70 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 Score45 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%21 models

SemiAnalysis GDPx: General agentic benchmark evaluating 206 multi-hour tasks across 11 economically valuable domains (Chip Design, Cybersecurity, Biology, Finance, Legal, Quant Trading, Recursive Self-Improvement, Hardware Design, Materials Science, Alignment, and Software Engineering). Metric: Pass@1 (%). Sourced from gdpx.semianalysis.com.

Pass@1%20 models

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

Intelligence Index34 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%28 models

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

Score%26 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 Elo99 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.