Model comparison
GLM-5 vs Mistral Small 3
GLM-5 is the stronger model overall, scoring 46.1 to 31.2 on the Noometry Index. Mistral Small 3 costs 27× less per token, which makes it the better buy when GLM-5's lead doesn't matter for your workload.
Last verified . 21 shared benchmarks.
Mistral AISummary
- They share 21 benchmarks with published results for both. GLM-5 scores higher in 8 categories and Mistral Small 3 in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-5 leads 66.0 to 32.2.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 80% for GLM-5 and 6.7% for Mistral Small 3.
- Mistral Small 3 is cheaper at $0.05 / $0.08 per million input/output tokens, against $1 / $3.20 for GLM-5.
- GLM-5 accepts more context: 205K tokens versus 33K.
Side by side
| GLM-5 | Mistral Small 3 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 46.1 | 31.2 |
| Released | 2026-02-11 | 2025-01-30 |
| Weights | Open | Open |
| Context window | 205K | 33K |
| Max output | 131K | 16K |
| Input $ / M tokens | $1 | $0.05 |
| Output $ / M tokens | $3.20 | $0.08 |
| Results tracked | 45 | 24 |
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Category by category
Coding GLM-5 leads
GLM-5: 49.0 (#52), Mistral Small 3: 36.5 (#207)
| Benchmark | GLM-5 | Mistral Small 3 |
|---|---|---|
| LMArena Coding | 1461 | 1246 |
| SWE-bench Verified | 72.1% | — |
| SWE-bench Verified (bash only) | 72.8% | — |
| LMArena WebDev | 1434 | — |
| SWE-bench Multilingual | 69.7% | — |
| WeirdML | 48.2% | — |
| BigCodeBench Instruct | — | 45.3% |
| BigCodeBench Complete | — | 50.4% |
| ALE-Bench | 765.62 | — |
Agentic & Tool Use Not comparable
GLM-5: 31.1 (#71), Mistral Small 3: —
| Benchmark | GLM-5 | Mistral Small 3 |
|---|---|---|
| Terminal-Bench | 52.4% | — |
| 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), Mistral Small 3: 18.9 (#273)
| Benchmark | GLM-5 | Mistral Small 3 |
|---|---|---|
| Chess Puzzles | 10% | 0% |
| LMArena Hard Prompts | 1452 | 1233 |
| Epoch Capabilities Index | 145.83 | 127.07 |
| ARC-AGI-2 | 4.9% | — |
| SimpleBench | 53.2% | — |
| Kagi LLM Benchmark | 75% | — |
| NYT Connections (extended) | 74.8% | — |
| ARC-AGI-1 | 44.7% | — |
| ForecastBench | 61 | — |
Math GLM-5 leads
GLM-5: 46.4 (#71), Mistral Small 3: 16.3 (#295)
| Benchmark | GLM-5 | Mistral Small 3 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 80% | 6.7% |
| LMArena Math | 1440 | 1240 |
| MathArena Final-Answer Competitions | 65.7% | — |
| FrontierMath (Feb 2025 set) | 16.4% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge GLM-5 leads
GLM-5: 52.3 (#64), Mistral Small 3: 25.1 (#263)
| Benchmark | GLM-5 | Mistral Small 3 |
|---|---|---|
| GPQA Diamond | 87.8% | 47.3% |
| LMArena Expert | 1454 | 1202 |
| Confabulations | — | 25.2% |
| Vectara Hallucination Rate | 10.1% | — |
Multilingual GLM-5 leads
GLM-5: 53.7 (#58), Mistral Small 3: 37.3 (#236)
| Benchmark | GLM-5 | Mistral Small 3 |
|---|---|---|
| LMArena Non-English | 1430 | 1198 |
| LMArena Chinese | 1511 | 1204 |
| LMArena French | 1455 | 1203 |
| LMArena German | 1445 | 1211 |
| LMArena Japanese | 1416 | 1111 |
| LMArena Korean | 1423 | 1188 |
| LMArena Russian | 1436 | 1216 |
| LMArena Spanish | 1454 | — |
Instruction Following GLM-5 leads
GLM-5: 75.2 (#67), Mistral Small 3: 63.7 (#229)
| Benchmark | GLM-5 | Mistral Small 3 |
|---|---|---|
| LMArena Instruction Following | 1428 | 1214 |
Long Context GLM-5 leads
GLM-5: 44.7 (#60), Mistral Small 3: 37.8 (#211)
| Benchmark | GLM-5 | Mistral Small 3 |
|---|---|---|
| LMArena Longer Query | 1446 | 1246 |
| CL-bench | 18.7% | — |
Writing & Preference GLM-5 leads
GLM-5: 66.0 (#38), Mistral Small 3: 32.2 (#280)
| Benchmark | GLM-5 | Mistral Small 3 |
|---|---|---|
| LMArena Text | 1446 | 1234 |
| LMArena Creative Writing | 1439 | 1195 |
| EQ-Bench Creative Writing | 1601 | 707 |
| LMArena Multi-Turn | 1456 | 1217 |
Frequently asked questions
Is GLM-5 better than Mistral Small 3?
GLM-5 is the stronger model overall, scoring 46.1 to 31.2 on the Noometry Index. Mistral Small 3 costs 27× 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 Mistral Small 3?
Mistral Small 3 is cheaper. It lists at $0.05 per million input tokens and $0.08 per million output tokens; GLM-5 lists at $1 and $3.20.
Is GLM-5 or Mistral Small 3 better for coding?
GLM-5 scores higher on coding benchmarks: 49.0 versus 36.5 in the Noometry coding category.
Which has the bigger context window?
GLM-5 does, with 205K tokens against 33K.
How many benchmarks do GLM-5 and Mistral Small 3 share?
21 benchmarks have published results for both models. GLM-5 has 45 scored results on Noometry and Mistral Small 3 has 24.