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LiveCodeBench leaderboard (Sep 2026): AI model scores

As of 1 Sep 2026, the highest reported Google score on LiveCodeBench is Gemini 3.8 Flash (Google) at 89.48%, #3 on that leaderboard, per Vals AI. The source no longer updates this leaderboard.

What it measures

Programming problems from LiveCodeBench, run by Vals AI.

Recent competitive-programming problems, collected after model training cut-offs to limit memorisation.

What the score means

Accuracy

Share of problems solved (all tests pass).

Results from published AI leaderboards. Compare models within each benchmark; scores from different tests aren’t directly comparable. How we collect these results

Scores by model

Run by Vals AI (benchmark by LiveCodeBench team). Leaderboard dated 1 Sep 2026 (no longer updated by the source). Last checked 22 Oct 2026. Showing top 25 of 143 models listed.

Highlight a provider: Anthropic OpenAI Google xAI DeepSeek Alibaba Moonshot

Highlighting Google models. Other providers are dimmed. Show all providers

  • Anthropic
  • OpenAI
  • Google
  • xAI
  • DeepSeek
  • Alibaba
  • Moonshot
  • Other
LiveCodeBench: top 15 by AccuracyBars from zero. Leader: Claude Fable 5.1 at 90.52%. Google models highlighted. Full values in the table below.0%20%40%60%80%100%Claude Fable 5.1 (Anthropic), rank 1: 90.52%AClaude Fable 5.190.52%Claude Fable 5 (Anthropic), rank 2: 89.78%AClaude Fable 589.78%Gemini 3.8 Flash (Google), rank 3: 89.48%GGemini 3.8 Flash89.48%Claude Opus 5 (Anthropic), rank 4: 89.03%AClaude Opus 589.03%Gemini 3.7 Flash (Google), rank 5: 88.65%GGemini 3.7 Flash88.65%Gemini 3.1 Pro Preview (02/26) (Google), rank 6: 88.48%GGemini 3.1 Pro Preview88.48%Grok 4.6 (xAI), rank 7: 88.22%XGrok 4.688.22%Gemini 3.6 Flash (Google), rank 8: 88.08%GGemini 3.6 Flash88.08%GPT 5.2 Codex (OpenAI), rank 9: 87.99%OGPT 5.2 Codex87.99%Qwen 3.8 Max (Alibaba), rank 10: 87.85%QQwen 3.8 Max87.85%Claude Opus 4.8 (Anthropic), rank 11: 87.82%AClaude Opus 4.887.82%Gemini 3.5 Flash (Google), rank 12: 87.60%GGemini 3.5 Flash87.60%DeepSeek V4 Pro 0813 (DeepSeek), rank 13: 87.53%DDeepSeek V4 Pro 081387.53%DeepSeek V4 (DeepSeek), rank 14: 87.48%DDeepSeek V487.48%Grok 4.5 (xAI), rank 15: 87.35%XGrok 4.587.35%Gemini 3 Pro (11/25) (Google), rank 23: 86.41%G#23 Gemini 3 Pro86.41%
LiveCodeBench: top 12 by AccuracyBars from zero. Leader: Claude Fable 5.1 at 90.52%. Google models highlighted. Full values in the table below.0%50%100%Claude Fable 5.1 (Anthropic), rank 1: 90.52%AClaude Fable 5.190.52%Claude Fable 5 (Anthropic), rank 2: 89.78%AClaude Fable 589.78%Gemini 3.8 Flash (Google), rank 3: 89.48%GGemini 3.8 Flash89.48%Claude Opus 5 (Anthropic), rank 4: 89.03%AClaude Opus 589.03%Gemini 3.7 Flash (Google), rank 5: 88.65%GGemini 3.7 Flash88.65%Gemini 3.1 Pro Preview (02/26) (Google), rank 6: 88.48%GGemini 3.1 Pro P…88.48%Grok 4.6 (xAI), rank 7: 88.22%XGrok 4.688.22%Gemini 3.6 Flash (Google), rank 8: 88.08%GGemini 3.6 Flash88.08%GPT 5.2 Codex (OpenAI), rank 9: 87.99%OGPT 5.2 Codex87.99%Qwen 3.8 Max (Alibaba), rank 10: 87.85%QQwen 3.8 Max87.85%Claude Opus 4.8 (Anthropic), rank 11: 87.82%AClaude Opus 4.887.82%Gemini 3.5 Flash (Google), rank 12: 87.60%GGemini 3.5 Flash87.60%Gemini 3 Pro (11/25) (Google), rank 23: 86.41%G#23 Gemini 3 Pro86.41%
LiveCodeBench: top 15 by AccuracyDot plot, axis starting at 80% (not zero). Leader: Claude Fable 5.1 at 90.52%. Google models highlighted. Full values in the table below.80%82.5%85%87.5%90%92.5%ACCURACY · AXIS STARTS AT 80%, NOT ZEROClaude Fable 5.1 (Anthropic), rank 1: 90.52%AClaude Fable 5.190.52%Claude Fable 5 (Anthropic), rank 2: 89.78%AClaude Fable 589.78%Gemini 3.8 Flash (Google), rank 3: 89.48%GGemini 3.8 Flash89.48%Claude Opus 5 (Anthropic), rank 4: 89.03%AClaude Opus 589.03%Gemini 3.7 Flash (Google), rank 5: 88.65%GGemini 3.7 Flash88.65%Gemini 3.1 Pro Preview (02/26) (Google), rank 6: 88.48%GGemini 3.1 Pro Preview88.48%Grok 4.6 (xAI), rank 7: 88.22%XGrok 4.688.22%Gemini 3.6 Flash (Google), rank 8: 88.08%GGemini 3.6 Flash88.08%GPT 5.2 Codex (OpenAI), rank 9: 87.99%OGPT 5.2 Codex87.99%Qwen 3.8 Max (Alibaba), rank 10: 87.85%QQwen 3.8 Max87.85%Claude Opus 4.8 (Anthropic), rank 11: 87.82%AClaude Opus 4.887.82%Gemini 3.5 Flash (Google), rank 12: 87.60%GGemini 3.5 Flash87.60%DeepSeek V4 Pro 0813 (DeepSeek), rank 13: 87.53%DDeepSeek V4 Pro 081387.53%DeepSeek V4 (DeepSeek), rank 14: 87.48%DDeepSeek V487.48%Grok 4.5 (xAI), rank 15: 87.35%XGrok 4.587.35%Gemini 3 Pro (11/25) (Google), rank 23: 86.41%G#23 Gemini 3 Pro86.41%
LiveCodeBench: top 12 by AccuracyDot plot, axis starting at 80% (not zero). Leader: Claude Fable 5.1 at 90.52%. Google models highlighted. Full values in the table below.80%85%90%AXIS STARTS AT 80%, NOT ZEROClaude Fable 5.1 (Anthropic), rank 1: 90.52%AClaude Fable 5.190.52%Claude Fable 5 (Anthropic), rank 2: 89.78%AClaude Fable 589.78%Gemini 3.8 Flash (Google), rank 3: 89.48%GGemini 3.8 Flash89.48%Claude Opus 5 (Anthropic), rank 4: 89.03%AClaude Opus 589.03%Gemini 3.7 Flash (Google), rank 5: 88.65%GGemini 3.7 Flash88.65%Gemini 3.1 Pro Preview (02/26) (Google), rank 6: 88.48%GGemini 3.1 Pro P…88.48%Grok 4.6 (xAI), rank 7: 88.22%XGrok 4.688.22%Gemini 3.6 Flash (Google), rank 8: 88.08%GGemini 3.6 Flash88.08%GPT 5.2 Codex (OpenAI), rank 9: 87.99%OGPT 5.2 Codex87.99%Qwen 3.8 Max (Alibaba), rank 10: 87.85%QQwen 3.8 Max87.85%Claude Opus 4.8 (Anthropic), rank 11: 87.82%AClaude Opus 4.887.82%Gemini 3.5 Flash (Google), rank 12: 87.60%GGemini 3.5 Flash87.60%Gemini 3 Pro (11/25) (Google), rank 23: 86.41%G#23 Gemini 3 Pro86.41%
Accuracy
Share of problems solved (all tests pass).

All scores

LiveCodeBench scores, Google models highlighted
RankModelProviderAccuracyPrice in / out ($/1M tokens)
1 Claude Fable 5.1Anthropic90.52%$10 / $50
2 Claude Fable 5Anthropic89.78%$10 / $50
3 Gemini 3.8 FlashGoogle89.48%$1.5 / $7.5
4 Claude Opus 5Anthropic89.03%$5 / $25
5 Gemini 3.7 FlashGoogle88.65%$1.5 / $7.5
6 Gemini 3.1 Pro Preview (02/26)Google88.48%$2 / $12
7 Grok 4.6xAI88.22%$2 / $6
8 Gemini 3.6 FlashGoogle88.08%$1.5 / $7.5
9 GPT 5.2 CodexOpenAI87.99%$1.75 / $14
10 Qwen 3.8 MaxAlibaba87.85%$2 / $6
Show 15 more rows
RankModelProviderAccuracyPrice in / out ($/1M tokens)
11 Claude Opus 4.8Anthropic87.82%$5 / $25
12 Gemini 3.5 FlashGoogle87.60%$1.5 / $9
13 DeepSeek V4 Pro 0813DeepSeek87.53%$1.32 / $3.96
14 DeepSeek V4DeepSeek87.48%$1.32 / $3.96
15 Grok 4.5xAI87.35%$2 / $6
16 GPT 5.3 CodexOpenAI87.31%$1.75 / $14
17 DeepSeek V4 Flash 0731DeepSeek87.26%$0.44 / $1.32
18 Kimi K3Moonshot87.19%$3 / $15
19 Qwen 3.7 MaxAlibaba87.06%$2.5 / $7.5
20 Kimi K2.6Moonshot86.77%$0.95 / $4
21 GPT 5 MiniOpenAI86.61%$0.25 / $2
22 GPT 5.1OpenAI86.49%$1.25 / $10
23 Gemini 3 Pro (11/25)Google86.41%$2 / $12
24 Nemotron 3 UltraOther85.98%N/A
25 Qwen 3.6 PlusAlibaba85.95%$0.5 / $3

Source: Vals AI leaderboard ↗ · LiveCodeBench project ↗

Best-ranked Google model here: Gemini 3.8 Flash (Google). Try prompts for Gemini →

Prompts for this kind of work

Copy-ready prompts from our library that match what LiveCodeBench tests. Run them on your own material to compare models.

ProductClaudePaste-ready Claude Code promptHanding one scoped change to a coding agent, not a whole document.View prompt ProductClaudeReview a PRD or bug reportBefore building, to find what a spec misses or conflates.View prompt ProductClaudeConsolidated PRD for a Claude Code handoffAfter a long design conversation, to turn every decision into one build-ready document.View prompt ProductClaudeSetup or integration instructions for Claude CodeGetting a coding agent to connect or deploy something, with only the browser steps left for you.View prompt