# GLM-4.7 vs Sarvam 105B

> Side-by-side benchmark comparison for GLM-4.7 and Sarvam 105B across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/glm-4-7-vs-sarvam-105b
- Last updated: October 17, 2026

- Shared sourced benchmarks: 5
- HTML indexing: indexable
- Ranking lane: BenchAlign v5.8

## Quick Verdict

GLM-4.7 leads by point estimate. Conditional score ranges do not establish rank confidence. Choose using the category evidence and your own workload tests.

## Summary

- GLM-4.7 has the higher overall point estimate 48.85 to 31.64. Conditional score ranges do not establish rank confidence.
- The clearest category separation is in reasoning, where the averages are 74.6 for GLM-4.7 and 25.9 for Sarvam 105B.
- The biggest single benchmark swing is SWE-bench Verified in Coding, with scores of 73.8% and 45%.
- GLM-4.7 also has the larger context window at 200K.

## Model Snapshot

| Property | GLM-4.7 | Sarvam 105B |
|----------|----------|----------|
| Creator | Z.AI | Sarvam |
| Type | Open Weight | Open Weight |
| Reasoning | Reasoning | Reasoning |
| Context | 200K | 128K |
| Overall Score | 48.85 | 31.64 |
| Benchmarks Covered | 17 | 10 |
| Pricing (input/output) | $0.00 / $0.00 | $0.00 / $0.00 |

## Category Breakdown

### Agentic

- Winner: Not comparable
- GLM-4.7 public-lane score: 31.6 (Estimated · #91/128)
- Sarvam 105B public-lane score: Coming soon

| Benchmark | GLM-4.7 | Sarvam 105B | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.0 | 41% | Coming soon | Coming soon |
| BrowseComp | 52% | 49.5% | GLM-4.7 |
| VITA-Bench | 15.5% | Coming soon | Coming soon |
| Gert Labs | 39.95% | Coming soon | Coming soon |

### Coding

- Winner: Not comparable
- GLM-4.7 public-lane score: 37.2 (Supported · #72/150)
- Sarvam 105B public-lane score: Coming soon

| Benchmark | GLM-4.7 | Sarvam 105B | Winner |
|-----------|-----------|-----------|--------|
| SWE-bench Verified | 73.8% | 45% | GLM-4.7 |
| LiveCodeBench v6 | 84.9% | Coming soon | Coming soon |
| SWE-Rebench | 58.7% | Coming soon | Coming soon |
| Terminal-Bench 2.0 | 41.0% | Coming soon | Coming soon |
| LiveCodeBench (Vals) | 82.2% | Coming soon | Coming soon |
| SWE-bench (Vals) | 69.4% | Coming soon | Coming soon |

### Reasoning

- Winner: Not comparable
- GLM-4.7 public-lane score: 74.6 (Unranked · 2 rankable rows)
- Sarvam 105B public-lane score: 25.9 (Unranked · 3 rankable rows)

| Benchmark | GLM-4.7 | Sarvam 105B | Winner |
|-----------|-----------|-----------|--------|
| GPQA Diamond | Coming soon | 78.7% | Coming soon |

### Knowledge

- Winner: GLM-4.7
- GLM-4.7 public-lane score: 44.1 (Supported · #100/184)
- Sarvam 105B public-lane score: 32.5 (Supported · #143/184)

| Benchmark | GLM-4.7 | Sarvam 105B | Winner |
|-----------|-----------|-----------|--------|
| GPQA | 85.7% | Coming soon | Coming soon |
| MMLU-Pro | 84.3% | 81.7% | GLM-4.7 |
| HLE | 24.8% | Coming soon | Coming soon |
| GPQA Diamond (Vals) | 80.1% | Coming soon | Coming soon |
| MMLU-Pro (Vals) | 82.7% | Coming soon | Coming soon |
| MMLU | Coming soon | 90.6% | Coming soon |

### Instruction Following

- Winner: Directional only
- GLM-4.7 public-lane score: 82.8 (#54/148)
- Sarvam 105B public-lane score: 39.1 (#120/148)

| Benchmark | GLM-4.7 | Sarvam 105B | Winner |
|-----------|-----------|-----------|--------|
| IFEval | Coming soon | 84.8% | Coming soon |

### Mathematics

- Winner: Not comparable
- GLM-4.7 public-lane score: Coming soon
- Sarvam 105B public-lane score: Coming soon

| Benchmark | GLM-4.7 | Sarvam 105B | Winner |
|-----------|-----------|-----------|--------|
| AIME 2025 | 95.7% | 88.3% | GLM-4.7 |
| HMMT Feb 2025 | 97.1% | 85.8% | GLM-4.7 |
| MATH-500 | Coming soon | 98.6% | Coming soon |
| HMMT Nov 2025 | Coming soon | 85.8% | Coming soon |

## FAQ

### Which is better overall, GLM-4.7 or Sarvam 105B?

GLM-4.7 has the higher overall point estimate. Conditional score ranges do not establish rank confidence.

### Where is the biggest gap between GLM-4.7 and Sarvam 105B?

The widest category gap is in reasoning, where the averages are 74.6 for GLM-4.7 and 25.9 for Sarvam 105B.

### How many benchmarks does GLM-4.7 cover on BenchLM?

GLM-4.7 currently has 17 sourced benchmark scores on BenchLM.

### How many benchmarks does Sarvam 105B cover on BenchLM?

Sarvam 105B currently has 10 sourced benchmark scores on BenchLM.

## Related Comparisons

- [GLM-4.7 vs Claude Opus 5.5](/compare/claude-opus-5-5-vs-glm-4-7)
- [Sarvam 105B vs Claude Opus 5.5](/compare/claude-opus-5-5-vs-sarvam-105b)
- [GLM-4.7 vs GPT-6.1 Sol](/compare/glm-4-7-vs-gpt-6-1-sol)
- [Sarvam 105B vs GPT-6.1 Sol](/compare/gpt-6-1-sol-vs-sarvam-105b)

## Explore More

- [GLM-4.7 profile](/models/glm-4-7)
- [Sarvam 105B profile](/models/sarvam-105b)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)