Model comparison
Gemini 3.8 Flash vs Grok-2 (Dec 2024)
Gemini 3.8 Flash is the stronger model overall, scoring 61.8 to 33.7 on the Noometry Index.
Last verified . 22 shared benchmarks.
GoogleSummary
- They share 22 benchmarks with published results for both. Gemini 3.8 Flash scores higher in 8 categories and Grok-2 (Dec 2024) in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.8 Flash leads 76.9 to 16.9.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 98.9% for Gemini 3.8 Flash and 11.5% for Grok-2 (Dec 2024).
Side by side
| Gemini 3.8 Flash | Grok-2 (Dec 2024) | |
|---|---|---|
| Provider | xAI | |
| Noometry Index | 61.8 | 33.7 |
| Released | 2026-09-02 | 2024-08-13 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | — |
| Max output | 66K | — |
| Input $ / M tokens | $0.75 | — |
| Output $ / M tokens | $3.75 | — |
| Results tracked | 50 | 34 |
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Category by category
Coding Gemini 3.8 Flash leads
Gemini 3.8 Flash: 59.2 (#15), Grok-2 (Dec 2024): 33.3 (#258)
| Benchmark | Gemini 3.8 Flash | Grok-2 (Dec 2024) |
|---|---|---|
| WeirdML | 84.8% | 22.2% |
| LMArena Coding | 1510 | 1287 |
| DeepSWE | 73.8% | — |
| FrontierCode | 41.2% | — |
| CursorBench | 39.6% | — |
| LMArena WebDev | 1584 | — |
| FrontierSWE | 19.6% | — |
| SciCode | 56.6% | — |
| LiveBench Coding | — | 46.4% |
| ALE-Bench | 1,270 | — |
Agentic & Tool Use Not comparable
Gemini 3.8 Flash: 41.8 (#21), Grok-2 (Dec 2024): —
| Benchmark | Gemini 3.8 Flash | Grok-2 (Dec 2024) |
|---|---|---|
| APEX-Agents | 64.3% | — |
| Remote Labor Index | 5.8% | — |
| GDP.pdf | 23.4% | — |
| Vending-Bench 2 | 5,094 | — |
Reasoning Gemini 3.8 Flash leads
Gemini 3.8 Flash: 76.9 (#5), Grok-2 (Dec 2024): 16.9 (#299)
| Benchmark | Gemini 3.8 Flash | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Hard Prompts | 1508 | 1272 |
| DTBench | 95.7% | 65.2% |
| Epoch Capabilities Index | 156.71 | 130.48 |
| ARC-AGI-2 | 89.2% | — |
| SimpleBench | — | 22.7% |
| NYT Connections (extended) | 97.4% | — |
| ARC-AGI-1 | 98.5% | — |
| CritPt | 18.3% | — |
| Chess Puzzles | 61% | — |
| LiveBench Reasoning | — | 54.8% |
| Mystery Game Puzzles | 47% | — |
| LiveBench Data Analysis | — | 54.5% |
| LMCA | 52.9% | — |
| Surface Evolver Bench | 76.9% | — |
| LiveBench | — | 54.3% |
Math Gemini 3.8 Flash leads
Gemini 3.8 Flash: 65.3 (#28), Grok-2 (Dec 2024): 20.8 (#284)
| Benchmark | Gemini 3.8 Flash | Grok-2 (Dec 2024) |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 98.9% | 11.5% |
| LMArena Math | 1528 | 1283 |
| FrontierMath (Tiers 1-3) | 68.4% | — |
| FrontierMath Tier 4 | 22% | — |
| ProofBench | 48% | — |
| LiveBench Math | — | 54.9% |
| MATH Level 5 | — | 63.5% |
| FrontierMath (Feb 2025 set) | — | 0.7% |
Knowledge Gemini 3.8 Flash leads
Gemini 3.8 Flash: 74.8 (#2), Grok-2 (Dec 2024): 29.8 (#233)
| Benchmark | Gemini 3.8 Flash | Grok-2 (Dec 2024) |
|---|---|---|
| GPQA Diamond | 95.4% | 53.8% |
| LMArena Expert | 1524 | 1254 |
| Humanity's Last Exam | 44.5% | — |
| SimpleQA Verified | 69.7% | — |
| Confabulations | — | 20.1% |
Multimodal Not comparable
Gemini 3.8 Flash: 40.7 (#45), Grok-2 (Dec 2024): —
| Benchmark | Gemini 3.8 Flash | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Vision | 1314 | — |
| Blueprint-Bench 2 | 38.6% | — |
| Furniture Assembly | 31.7% | — |
Multilingual Gemini 3.8 Flash leads
Gemini 3.8 Flash: 58.0 (#5), Grok-2 (Dec 2024): 43.1 (#188)
| Benchmark | Gemini 3.8 Flash | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Non-English | 1491 | 1282 |
| LMArena Chinese | 1554 | 1289 |
| LMArena French | 1498 | 1318 |
| LMArena German | 1493 | 1287 |
| LMArena Japanese | 1502 | 1244 |
| LMArena Korean | 1459 | 1237 |
| LMArena Russian | 1515 | 1286 |
| LMArena Spanish | 1485 | 1281 |
Instruction Following Gemini 3.8 Flash leads
Gemini 3.8 Flash: 78.0 (#13), Grok-2 (Dec 2024): 66.9 (#202)
| Benchmark | Gemini 3.8 Flash | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Instruction Following | 1490 | 1270 |
| LiveBench Instruction Following | — | 69.6% |
Long Context Gemini 3.8 Flash leads
Gemini 3.8 Flash: 46.3 (#24), Grok-2 (Dec 2024): 38.8 (#190)
| Benchmark | Gemini 3.8 Flash | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Longer Query | 1508 | 1276 |
Writing & Preference Gemini 3.8 Flash leads
Gemini 3.8 Flash: 72.2 (#15), Grok-2 (Dec 2024): 48.6 (#198)
| Benchmark | Gemini 3.8 Flash | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Text | 1499 | 1305 |
| LMArena Creative Writing | 1492 | 1284 |
| LMArena Multi-Turn | 1501 | 1290 |
| Short-Story Creative Writing | — | 63.6% |
| EQ-Bench Creative Writing | 1748 | — |
| LiveBench Language | — | 45.6% |
Frequently asked questions
Is Gemini 3.8 Flash better than Grok-2 (Dec 2024)?
Gemini 3.8 Flash is the stronger model overall, scoring 61.8 to 33.7 on the Noometry Index.
Is Gemini 3.8 Flash or Grok-2 (Dec 2024) better for coding?
Gemini 3.8 Flash scores higher on coding benchmarks: 59.2 versus 33.3 in the Noometry coding category.
How many benchmarks do Gemini 3.8 Flash and Grok-2 (Dec 2024) share?
22 benchmarks have published results for both models. Gemini 3.8 Flash has 50 scored results on Noometry and Grok-2 (Dec 2024) has 34.