Model comparison
GLM-5 vs Ministral 8B
GLM-5 is the stronger model overall, scoring 46.1 to 28.2 on the Noometry Index. Ministral 8B costs 10× less per token, which makes it the better buy when GLM-5's lead doesn't matter for your workload.
Last verified . 14 shared benchmarks.
Mistral AISummary
- They share 14 benchmarks with published results for both. GLM-5 scores higher in 9 categories and Ministral 8B in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-5 leads 52.3 to 12.6.
- The biggest single-benchmark swing is GPQA Diamond: 87.8% for GLM-5 and 27.1% for Ministral 8B.
- Ministral 8B is cheaper at $0.15 / $0.15 per million input/output tokens, against $1 / $3.20 for GLM-5.
- Ministral 8B accepts more context: 262K tokens versus 205K.
Side by side
| GLM-5 | Ministral 8B | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 46.1 | 28.2 |
| Released | 2026-02-11 | 2024-10-01 |
| Weights | Open | Open |
| Context window | 205K | 262K |
| Max output | 131K | 262K |
| Input $ / M tokens | $1 | $0.15 |
| Output $ / M tokens | $3.20 | $0.15 |
| Results tracked | 45 | 17 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GLM-5 leads
GLM-5: 49.0 (#52), Ministral 8B: 35.0 (#230)
| Benchmark | GLM-5 | Ministral 8B |
|---|---|---|
| LMArena Coding | 1461 | 1202 |
| SWE-bench Verified | 72.1% | — |
| SWE-bench Verified (bash only) | 72.8% | — |
| LMArena WebDev | 1434 | — |
| SWE-bench Multilingual | 69.7% | — |
| WeirdML | 48.2% | — |
| ALE-Bench | 765.62 | — |
Agentic & Tool Use GLM-5 leads
GLM-5: 31.1 (#71), Ministral 8B: 16.4 (#148)
| Benchmark | GLM-5 | Ministral 8B |
|---|---|---|
| Terminal-Bench | 52.4% | — |
| Berkeley Function Calling Leaderboard | — | 11.1% |
| τ²-bench Airline | 82.5% | — |
| τ²-bench Banking | 9.8% | — |
| τ²-bench Retail | 73.7% | — |
| τ²-bench Telecom | 86.8% | — |
| Vending-Bench 2 | 4,432 | — |
Reasoning GLM-5 leads
GLM-5: 27.6 (#116), Ministral 8B: 18.4 (#281)
| Benchmark | GLM-5 | Ministral 8B |
|---|---|---|
| LMArena Hard Prompts | 1452 | 1191 |
| ARC-AGI-2 | 4.9% | — |
| SimpleBench | 53.2% | — |
| Kagi LLM Benchmark | 75% | — |
| NYT Connections (extended) | 74.8% | — |
| ARC-AGI-1 | 44.7% | — |
| Chess Puzzles | 10% | — |
| DTBench | — | 45.7% |
| Epoch Capabilities Index | 145.83 | — |
| ForecastBench | 61 | — |
Math GLM-5 leads
GLM-5: 46.4 (#71), Ministral 8B: 25.7 (#267)
| Benchmark | GLM-5 | Ministral 8B |
|---|---|---|
| LMArena Math | 1440 | 1188 |
| MathArena Final-Answer Competitions | 65.7% | — |
| OTIS Mock AIME 2024-2025 | 80% | — |
| MATH Level 5 | — | 14.9% |
| FrontierMath (Feb 2025 set) | 16.4% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge GLM-5 leads
GLM-5: 52.3 (#64), Ministral 8B: 12.6 (#297)
| Benchmark | GLM-5 | Ministral 8B |
|---|---|---|
| GPQA Diamond | 87.8% | 27.1% |
| Vectara Hallucination Rate | 10.1% | 7.4% |
| LMArena Expert | 1454 | 1170 |
Multilingual GLM-5 leads
GLM-5: 53.7 (#58), Ministral 8B: 35.1 (#247)
| Benchmark | GLM-5 | Ministral 8B |
|---|---|---|
| LMArena Non-English | 1430 | 1165 |
| LMArena Chinese | 1511 | 1193 |
| LMArena Russian | 1436 | 1195 |
| LMArena French | 1455 | — |
| LMArena German | 1445 | — |
| LMArena Japanese | 1416 | — |
| LMArena Korean | 1423 | — |
| LMArena Spanish | 1454 | — |
Instruction Following GLM-5 leads
GLM-5: 75.2 (#67), Ministral 8B: 60.5 (#250)
| Benchmark | GLM-5 | Ministral 8B |
|---|---|---|
| LMArena Instruction Following | 1428 | 1161 |
Long Context GLM-5 leads
GLM-5: 44.7 (#60), Ministral 8B: 36.7 (#227)
| Benchmark | GLM-5 | Ministral 8B |
|---|---|---|
| LMArena Longer Query | 1446 | 1212 |
| CL-bench | 18.7% | — |
Writing & Preference GLM-5 leads
GLM-5: 66.0 (#38), Ministral 8B: 39.6 (#246)
| Benchmark | GLM-5 | Ministral 8B |
|---|---|---|
| LMArena Text | 1446 | 1191 |
| LMArena Creative Writing | 1439 | 1175 |
| LMArena Multi-Turn | 1456 | 1166 |
| EQ-Bench Creative Writing | 1601 | — |
Frequently asked questions
Is GLM-5 better than Ministral 8B?
GLM-5 is the stronger model overall, scoring 46.1 to 28.2 on the Noometry Index. Ministral 8B costs 10× less per token, which makes it the better buy when GLM-5's lead doesn't matter for your workload.
Which is cheaper, GLM-5 or Ministral 8B?
Ministral 8B is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; GLM-5 lists at $1 and $3.20.
Is GLM-5 or Ministral 8B better for coding?
GLM-5 scores higher on coding benchmarks: 49.0 versus 35.0 in the Noometry coding category.
Which has the bigger context window?
Ministral 8B does, with 262K tokens against 205K.
How many benchmarks do GLM-5 and Ministral 8B share?
14 benchmarks have published results for both models. GLM-5 has 45 scored results on Noometry and Ministral 8B has 17.