LabsxAI
xAI
Track xAI model scores across public AI benchmarks including Search Arena, Design Arena, LMArena, HLE, and WeirdML. Each result is shown one benchmark at a time, with source links and evaluation dates — no blended score or composite ranking. 6 models tracked, spanning Grok.
Models 6
Grok 4.5
Grok · grok 4.5
2026-07-08
3 results
Grok 4.3
Grok · grok 4.3
2026-04-17
12 results
Grok 4.20 beta reasoning
Grok · grok-4.20
2026-03-09
12 results
Grok 4.2
Grok · grok 4.2
2026-02-17
1 results
Grok 4.1 fast reasoning
Grok · grok-4.1-fast-reasoning
2025-11-19
16 results
Grok 4
Grok · grok-4
2025-07-09
29 results
Progress by benchmark
Show progress on
Single benchmark only
This view shows Search Arena (Elo) only. Other benchmarks use different metrics and are not directly comparable.
Progress matrix
| Model | SWE-bench Verified % resolved | Terminal-Bench 2.1 task success | DeepSWE % resolved | GPQA Diamond accuracy | LiveCodeBench Pro Codeforces Elo | Humanity's Last Exam accuracy | LiveBench score | SWE-bench Pro % resolved | Berkeley Function Calling Leaderboard accuracy | MMMU-Pro accuracy | LMArena source-defined rating | ARC-AGI-1 accuracy | ARC-AGI-2 accuracy | ARC-AGI-3 accuracy | FrontierMath accuracy | AIME (OTIS Mock) accuracy | SimpleQA Verified accuracy | GBA Eval overall score | WeirdML average accuracy | MCP Atlas pass rate | Remote Labor Index automation rate | Artificial Analysis Intelligence Index Index | Epoch Capabilities Index Index | Aider Polyglot % correct | SWE-rebench Resolved rate (pass@1) | MMLU-Pro accuracy | OSWorld task success rate | GAIA: A Benchmark for General AI Assistants accuracy | BrowseComp accuracy | τ²-bench (Telecom) pass^1 | AIME 2026 accuracy | MathVista accuracy | Video-MME accuracy | GDPval Elo | LiveCodeBench Pass@1 | METR Task-Completion Time Horizons 50% time horizon | SciCode accuracy | MMMU (Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark) accuracy | AA-Omniscience: Knowledge and Hallucination Benchmark AA-Omniscience Index | IFBench accuracy | MultiChallenge accuracy | OpenAI-MRCR v2 (Multi-Round Coreference Resolution) accuracy (mean SequenceMatcher similarity) | LongBench v2 accuracy | Global-MMLU accuracy | Video-MMMU accuracy | WebDev Arena Elo | Search Arena Elo | Arena-Hard-Auto v2.0 % win rate | EQ-Bench Creative Writing v3 Elo | Design Arena Elo | AILuminate AI Safety Benchmark Safety grade | MASK (Model Alignment between Statements and Knowledge) Honesty score | MCP-Universe Overall Success Rate | CharXiv accuracy | OCRBench v2 accuracy | ScreenSpot-Pro accuracy | FACTS Grounding Grounding accuracy | BigCodeBench calibrated Pass@1 | SWE-bench Multilingual % resolved | SWE-bench Multimodal % resolved | SuperGPQA accuracy | EnigmaEval accuracy | ZeroBench accuracy | IMO-Bench accuracy | PutnamBench Problems solved | MathArena HMMT February 2026 accuracy | FrontierMath Tier 4 accuracy | Vectara Hallucination Leaderboard Hallucination Rate | Gray Swan Arena (Agent Red-Teaming / Indirect Prompt Injection) Attack Success Rate (ASR) | PolyMath: Evaluating Mathematical Reasoning in Multilingual Contexts Difficulty-Weighted Accuracy (DW-ACC) | Vibe Code Bench Overall accuracy | Online-Mind2Web Task success rate | WebArena Task success rate | GSO: Software Optimization Benchmark for SWE-Agents Opt@1 | MultiNRC accuracy | Terminal-Bench 2.0 task success | SWE-Marathon resolution rate (pass@1) | FrontierCode weighted score (Diamond) | FrontierSWE dominance score | ProgramBench almost-resolved rate | CursorBench score | PostTrainBench weighted average score |
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| Grok 4 Grok | — | — | — | 87.0% | — | 24.52% | — | — | 62.97% | — | 1409 | 66.67% | 15.97% | — | 19.66% | 84.0% | 47.9% | — | 45.7% | — | 2.08% | 41.5 | 147.4 | 79.6% | — | 86.6% | — | — | — | — | — | — | — | 989 | 81.9% | 109 min | 45.7% | — | — | — | — | — | — | 89.5% | — | — | 1143 | — | — | 1070 | — | — | 33.33% | — | 45.0 | — | 54.7% | — | — | — | — | — | 1.0% (pass@1) | 73.1% | — | — | 2.1% | — | 2.9% | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Grok 4.1 fast reasoning Grok | — | — | — | — | — | — | — | — | 69.57% | — | — | — | — | — | — | — | — | — | — | — | — | 38.6 | — | — | — | 85.4% | — | — | — | — | 94.17% | — | — | 1046 | 82.2% | — | 44.2% | — | — | — | — | — | — | 85.6% | — | 1234 | 1175 | — | 1317 | 1142 | — | — | 40.69% | — | — | — | — | — | — | — | — | — | — | — | — | 86.36% | — | 19.2% | — | — | 1.20% | — | — | — | — | — | — | — | — | — | — | — |
| Grok 4.2 Grok | — | — | — | — | — | 30.2% | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Grok 4.20 beta reasoning Grok | — | — | — | — | — | — | 67.96% | — | — | — | 1453 | 89.5% | 65.14% | 0.09% | — | — | — | — | 52.3% | — | — | — | 154.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 89.5% | — | 1395 | 1193 | — | 1675 | 1271 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Grok 4.3 Grok | — | — | — | — | — | 33.12% | — | — | — | — | 1408 | — | — | — | — | — | — | — | 49.9% | — | — | 53.2 | — | — | — | — | — | — | — | 97.7% | — | — | — | 1495 | — | — | — | — | 18 | 83.3% | — | — | — | — | — | 1377 | 1189 | — | — | 1260 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 19.40% | — | — | — | — | — | — | — | — | — | — | — |
| Grok 4.5 Grok | — | 83.3% | — | — | — | — | — | 64.7% | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 29.0% | — | — | — | — | — |
Scores are not normalised across benchmarks. Each column uses its own metric. Compare columns independently.