# GLM-5.2 vs Mistral Medium 3.5 128B

> Side-by-side benchmark comparison for GLM-5.2 and Mistral Medium 3.5 128B across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/glm-5-2-vs-mistral-medium-3-5-128b
- Last updated: September 14, 2026

- Shared sourced benchmarks: 4
- HTML indexing: indexable
- Ranking lane: BenchAlign v5

## Quick Verdict

Pick GLM-5.2 if you want the stronger benchmark profile. Mistral Medium 3.5 128B only makes more sense when its price, context window, or workload-specific category wins matter more than the overall score.

## Summary

- GLM-5.2 leads overall 68.19 to 42.45.
- The clearest category separation is in agentic, where the averages are 58.5 for GLM-5.2 and 22.2 for Mistral Medium 3.5 128B.
- The biggest single benchmark swing is GPQA Diamond (Vals) in Knowledge, with scores of 85.6% and 34.8%.
- GLM-5.2 is the cheaper option on output tokens, which matters if you expect large responses or heavy interactive use.
- GLM-5.2 also has the larger context window at 1M.

## Model Snapshot

| Property | GLM-5.2 | Mistral Medium 3.5 128B |
|----------|----------|----------|
| Creator | Z.AI | Mistral |
| Type | Open Weight | Open Weight |
| Reasoning | Reasoning | Reasoning |
| Context | 1M | 256K |
| Overall Score | 68.19 | 42.45 |
| Benchmarks Covered | 25 | 7 |
| Pricing (input/output) | $1.40 / $4.40 | $1.50 / $7.50 |

## Category Breakdown

### Agentic

- Winner: GLM-5.2
- GLM-5.2 public-lane score: 58.5 (Supported · #29/153)
- Mistral Medium 3.5 128B public-lane score: 22.2 (Supported · #151/153)

| Benchmark | GLM-5.2 | Mistral Medium 3.5 128B | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 3.0 | 4.6% | Coming soon | Coming soon |
| Terminal-Bench 2.0 | 81% | Coming soon | Coming soon |
| MCP Atlas | 76.8% | Coming soon | Coming soon |
| Toolathlon | 48.2% | Coming soon | Coming soon |
| ResearchClawBench | 20.7% | Coming soon | Coming soon |
| Terminal-Bench 2.1 (Vals) | 67.8% | 39.0% | GLM-5.2 |
| τ³-bench results | Coming soon | 91.4% | Coming soon |
| Gert Labs | Coming soon | 39.10% | Coming soon |

### Coding

- Winner: Coming soon
- GLM-5.2 public-lane score: 61 (Supported · #19/152)
- Mistral Medium 3.5 128B public-lane score: 39.1 (Estimated · #121/152)

| Benchmark | GLM-5.2 | Mistral Medium 3.5 128B | Winner |
|-----------|-----------|-----------|--------|
| SWE-bench Pro | 62.1% | Coming soon | Coming soon |
| NL2Repo | 48.9% | Coming soon | Coming soon |
| Terminal-Bench 2.0 | 81.0% | Coming soon | Coming soon |
| ProgramBench | 63.7% | Coming soon | Coming soon |
| cursorBench32 | 55.0% | Coming soon | Coming soon |
| OpenHarmony Bench | 58.4% | Coming soon | Coming soon |
| LiveCodeBench (Vals) | 69.5% | Coming soon | Coming soon |
| SWE-bench (Vals) | 82.8% | 66.4% | GLM-5.2 |
| SWE-bench Verified | Coming soon | 77.6% | Coming soon |

### Multimodal & Grounded

- Winner: Coming soon
- GLM-5.2 public-lane score: Coming soon
- Mistral Medium 3.5 128B public-lane score: 55.6 (Unranked · 1 rankable row)

### Reasoning

- Winner: Coming soon
- GLM-5.2 public-lane score: 74.8 (Unranked · 2 rankable rows)
- Mistral Medium 3.5 128B public-lane score: 68.6 (Unranked · 2 rankable rows)

| Benchmark | GLM-5.2 | Mistral Medium 3.5 128B | Winner |
|-----------|-----------|-----------|--------|
| CritPt | 20.9% | Coming soon | Coming soon |

### Knowledge

- Winner: GLM-5.2
- GLM-5.2 public-lane score: 60.7 (Supported · #35/183)
- Mistral Medium 3.5 128B public-lane score: 40.5 (Supported · #132/183)

| Benchmark | GLM-5.2 | Mistral Medium 3.5 128B | Winner |
|-----------|-----------|-----------|--------|
| GPQA | 91.2% | Coming soon | Coming soon |
| GPQA-D | 91.2% | Coming soon | Coming soon |
| HLE | 54.7% | Coming soon | Coming soon |
| HLE w/o tools | 40.5% | Coming soon | Coming soon |
| GPQA Diamond (Vals) | 85.6% | 34.8% | GLM-5.2 |
| MMLU-Pro (Vals) | 86.7% | 75.3% | GLM-5.2 |

### Instruction Following

- Winner: Coming soon
- GLM-5.2 public-lane score: 89.8 (#22/123)
- Mistral Medium 3.5 128B public-lane score: 84 (#48/123)

### Mathematics

- Winner: Coming soon
- GLM-5.2 public-lane score: 80.7 (Unranked · 4 rankable rows)
- Mistral Medium 3.5 128B public-lane score: Coming soon

| Benchmark | GLM-5.2 | Mistral Medium 3.5 128B | Winner |
|-----------|-----------|-----------|--------|
| AIME26 | 99.2% | Coming soon | Coming soon |
| HMMT Nov 2025 | 94.4% | Coming soon | Coming soon |
| HMMT Feb 2026 | 92.5% | Coming soon | Coming soon |
| MMAnswerBench | 91.0% | Coming soon | Coming soon |

## FAQ

### Which is better overall, GLM-5.2 or Mistral Medium 3.5 128B?

GLM-5.2 is ahead overall on BenchLM right now.

### Where is the biggest gap between GLM-5.2 and Mistral Medium 3.5 128B?

The widest category gap is in agentic, where the averages are 58.5 for GLM-5.2 and 22.2 for Mistral Medium 3.5 128B.

### How many benchmarks does GLM-5.2 cover on BenchLM?

GLM-5.2 currently has 25 sourced benchmark scores on BenchLM.

### How many benchmarks does Mistral Medium 3.5 128B cover on BenchLM?

Mistral Medium 3.5 128B currently has 7 sourced benchmark scores on BenchLM.

## Related Comparisons

- [GLM-5.2 vs GLM-5.3](/compare/glm-5-2-vs-glm-5-3)
- [Mistral Medium 3.5 128B vs GLM-5.3](/compare/glm-5-3-vs-mistral-medium-3-5-128b)
- [GLM-5.2 vs GLM-5.3-Flash](/compare/glm-5-2-vs-glm-5-3-flash)
- [Mistral Medium 3.5 128B vs GLM-5.3-Flash](/compare/glm-5-3-flash-vs-mistral-medium-3-5-128b)

## Explore More

- [GLM-5.2 profile](/models/glm-5-2)
- [Mistral Medium 3.5 128B profile](/models/mistral-medium-3-5-128b)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)