Model comparison
Gemini 3.8 Flash vs GLM-5.1
Gemini 3.8 Flash is the stronger model overall, scoring 61.8 to 47.8 on the Noometry Index.
Last verified . 33 shared benchmarks.
Summary
- They share 33 benchmarks with published results for both. Gemini 3.8 Flash scores higher in 9 categories and GLM-5.1 in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.8 Flash leads 76.9 to 39.1.
- The biggest single-benchmark swing is Chess Puzzles: 61% for Gemini 3.8 Flash and 19% for GLM-5.1.
- Gemini 3.8 Flash is cheaper at $0.75 / $3.75 per million input/output tokens, against $1.40 / $4.40 for GLM-5.1.
- Gemini 3.8 Flash accepts more context: 1.05M tokens versus 200K.
- GLM-5.1 has downloadable open weights; the other is API-only.
Side by side
| Gemini 3.8 Flash | GLM-5.1 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | |
| Noometry Index | 61.8 | 47.8 |
| Released | 2026-09-02 | 2026-04-07 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 200K |
| Max output | 66K | 131K |
| Input $ / M tokens | $0.75 | $1.40 |
| Output $ / M tokens | $3.75 | $4.40 |
| Results tracked | 50 | 41 |
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Category by category
Coding Gemini 3.8 Flash leads
Gemini 3.8 Flash: 59.2 (#15), GLM-5.1: 48.7 (#55)
| Benchmark | Gemini 3.8 Flash | GLM-5.1 |
|---|---|---|
| LMArena WebDev | 1584 | 1508 |
| SciCode | 56.6% | 43.8% |
| WeirdML | 84.8% | 57.1% |
| LMArena Coding | 1510 | 1485 |
| ALE-Bench | 1,270 | 887.1 |
| SWE-bench Verified | — | 74.2% |
| DeepSWE | 73.8% | — |
| FrontierCode | 41.2% | — |
| CursorBench | 39.6% | — |
| FrontierSWE | 19.6% | — |
Agentic & Tool Use Gemini 3.8 Flash leads
Gemini 3.8 Flash: 41.8 (#21), GLM-5.1: 24.9 (#113)
| Benchmark | Gemini 3.8 Flash | GLM-5.1 |
|---|---|---|
| APEX-Agents | 64.3% | 40.9% |
| Vending-Bench 2 | 5,094 | 5,634 |
| Remote Labor Index | 5.8% | — |
| ExploitBench | — | 18.1% |
| GBAEval | — | 0% |
| GDP.pdf | 23.4% | — |
Reasoning Gemini 3.8 Flash leads
Gemini 3.8 Flash: 76.9 (#5), GLM-5.1: 39.1 (#60)
| Benchmark | Gemini 3.8 Flash | GLM-5.1 |
|---|---|---|
| NYT Connections (extended) | 97.4% | 77.7% |
| CritPt | 18.3% | 4.6% |
| Chess Puzzles | 61% | 19% |
| LMArena Hard Prompts | 1508 | 1472 |
| Epoch Capabilities Index | 156.71 | 149.84 |
| ARC-AGI-2 | 89.2% | — |
| SimpleBench | — | 55.1% |
| ARC-AGI-1 | 98.5% | — |
| Thematic Generalization | — | 69.8% |
| Mystery Game Puzzles | 47% | — |
| DTBench | 95.7% | — |
| LMCA | 52.9% | — |
| Surface Evolver Bench | 76.9% | — |
Math Gemini 3.8 Flash leads
Gemini 3.8 Flash: 65.3 (#28), GLM-5.1: 49.7 (#60)
| Benchmark | Gemini 3.8 Flash | GLM-5.1 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 68.4% | 36.8% |
| OTIS Mock AIME 2024-2025 | 98.9% | 93.3% |
| ProofBench | 48% | 22.2% |
| LMArena Math | 1528 | 1473 |
| FrontierMath Tier 4 | 22% | — |
| MathArena Final-Answer Competitions | — | 67.1% |
| FrontierMath (Feb 2025 set) | — | 33.4% |
| FrontierMath Tier 4 (v1) | — | 12.5% |
Knowledge Gemini 3.8 Flash leads
Gemini 3.8 Flash: 74.8 (#2), GLM-5.1: 54.9 (#50)
| Benchmark | Gemini 3.8 Flash | GLM-5.1 |
|---|---|---|
| GPQA Diamond | 95.4% | 89.9% |
| SimpleQA Verified | 69.7% | 34% |
| LMArena Expert | 1524 | 1476 |
| Humanity's Last Exam | 44.5% | — |
Multimodal Not comparable
Gemini 3.8 Flash: 40.7 (#45), GLM-5.1: —
| Benchmark | Gemini 3.8 Flash | GLM-5.1 |
|---|---|---|
| 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), GLM-5.1: 55.0 (#36)
| Benchmark | Gemini 3.8 Flash | GLM-5.1 |
|---|---|---|
| LMArena Non-English | 1491 | 1447 |
| LMArena Chinese | 1554 | 1515 |
| LMArena French | 1498 | 1474 |
| LMArena German | 1493 | 1465 |
| LMArena Japanese | 1502 | 1434 |
| LMArena Korean | 1459 | 1418 |
| LMArena Russian | 1515 | 1454 |
| LMArena Spanish | 1485 | 1469 |
Instruction Following Gemini 3.8 Flash leads
Gemini 3.8 Flash: 78.0 (#13), GLM-5.1: 76.3 (#42)
| Benchmark | Gemini 3.8 Flash | GLM-5.1 |
|---|---|---|
| LMArena Instruction Following | 1490 | 1451 |
Long Context Gemini 3.8 Flash leads
Gemini 3.8 Flash: 46.3 (#24), GLM-5.1: 44.9 (#53)
| Benchmark | Gemini 3.8 Flash | GLM-5.1 |
|---|---|---|
| LMArena Longer Query | 1508 | 1466 |
Writing & Preference Gemini 3.8 Flash leads
Gemini 3.8 Flash: 72.2 (#15), GLM-5.1: 66.9 (#31)
| Benchmark | Gemini 3.8 Flash | GLM-5.1 |
|---|---|---|
| LMArena Text | 1499 | 1461 |
| LMArena Creative Writing | 1492 | 1453 |
| EQ-Bench Creative Writing | 1748 | 1592 |
| LMArena Multi-Turn | 1501 | 1472 |
Frequently asked questions
Is Gemini 3.8 Flash better than GLM-5.1?
Gemini 3.8 Flash is the stronger model overall, scoring 61.8 to 47.8 on the Noometry Index.
Which is cheaper, Gemini 3.8 Flash or GLM-5.1?
Gemini 3.8 Flash is cheaper. It lists at $0.75 per million input tokens and $3.75 per million output tokens; GLM-5.1 lists at $1.40 and $4.40.
Is Gemini 3.8 Flash or GLM-5.1 better for coding?
Gemini 3.8 Flash scores higher on coding benchmarks: 59.2 versus 48.7 in the Noometry coding category.
Which has the bigger context window?
Gemini 3.8 Flash does, with 1.05M tokens against 200K.
How many benchmarks do Gemini 3.8 Flash and GLM-5.1 share?
33 benchmarks have published results for both models. Gemini 3.8 Flash has 50 scored results on Noometry and GLM-5.1 has 41.