# GLM-5.1 vs Sarvam 30B

> Side-by-side benchmark comparison for GLM-5.1 and Sarvam 30B across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/glm-5-1-vs-sarvam-30b
- Last updated: November 7, 2026

- Shared sourced benchmarks: 2
- HTML indexing: indexable
- Ranking lane: BenchAlign v5.8

## Quick Verdict

Evidence is too thin for a benchmark verdict: GLM-5.1 and Sarvam 30B share only 2 sourced benchmark rows.

## Summary

- Only 2 shared sourced benchmark rows are available. That is not enough for a broad capability verdict, so this mirror does not name an overall winner.
- Sarvam 30B has the lower published output-token price.
- GLM-5.1 has the larger published context window at 203K.

## Model Snapshot

| Property | GLM-5.1 | Sarvam 30B |
|----------|----------|----------|
| Creator | Z.AI | Sarvam |
| Type | Open Weight | Open Weight |
| Reasoning | Reasoning | Reasoning |
| Context | 203K | 64K |
| Independent public score (not head-to-head) | 56.2 | 23.67 |
| Benchmarks Covered | 27 | 9 |
| Pricing (input/output) | $1.40 / $4.40 | $0.00 / $0.00 |

## Category Breakdown

### Agentic

- Winner: Insufficient shared evidence
- GLM-5.1 public-lane score: 45.1 (Estimated · #58/131)
- Sarvam 30B public-lane score: Coming soon

| Benchmark | GLM-5.1 | Sarvam 30B | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.0 | 63.5% | Coming soon | Coming soon |
| BrowseComp | 68% | 35.5% | GLM-5.1 |
| τ³-bench results | 70.6% | Coming soon | Coming soon |
| MCP Atlas | 71.8% | Coming soon | Coming soon |
| CyberGym | 68.7% | Coming soon | Coming soon |
| Claw-Eval | 62.3% | Coming soon | Coming soon |
| Gert Labs | 60.11% | Coming soon | Coming soon |
| ResearchClawBench | 18.2% | Coming soon | Coming soon |
| Terminal-Bench 2.1 (Vals) | 56.9% | Coming soon | Coming soon |
| HLE w/ tools | 52.3% | Coming soon | Coming soon |

### Coding

- Winner: Insufficient shared evidence
- GLM-5.1 public-lane score: 47.5 (Supported · #53/157)
- Sarvam 30B public-lane score: Coming soon

| Benchmark | GLM-5.1 | Sarvam 30B | Winner |
|-----------|-----------|-----------|--------|
| SWE-bench Pro | 58.4% | Coming soon | Coming soon |
| NL2Repo | 42.7% | Coming soon | Coming soon |
| SWE-Rebench | 62.7% | Coming soon | Coming soon |
| Terminal-Bench 2.0 | 63.5% | Coming soon | Coming soon |
| Vibe Code Bench | 31.46% | Coming soon | Coming soon |
| OpenHarmony Bench | 52.3% | Coming soon | Coming soon |
| LiveCodeBench (Vals) | 81.4% | Coming soon | Coming soon |
| SWE-bench (Vals) | 76.4% | Coming soon | Coming soon |
| HumanEval | Coming soon | 92.1% | Coming soon |
| SWE-bench Verified | Coming soon | 34% | Coming soon |

### Reasoning

- Winner: Insufficient shared evidence
- GLM-5.1 public-lane score: 73.9 (Unranked · 2 rankable rows)
- Sarvam 30B public-lane score: 23.3 (Unranked · 3 rankable rows)

| Benchmark | GLM-5.1 | Sarvam 30B | Winner |
|-----------|-----------|-----------|--------|
| GPQA Diamond | Coming soon | 66.5% | Coming soon |

### Knowledge

- Winner: Insufficient shared evidence
- GLM-5.1 public-lane score: 52.1 (Supported · #72/178)
- Sarvam 30B public-lane score: 27.9 (Supported · #163/178)

| Benchmark | GLM-5.1 | Sarvam 30B | Winner |
|-----------|-----------|-----------|--------|
| GPQA-D | 86.2% | Coming soon | Coming soon |
| HLE | 31% | Coming soon | Coming soon |
| GPQA Diamond (Vals) | 84.5% | Coming soon | Coming soon |
| MMLU-Pro (Vals) | 86.9% | Coming soon | Coming soon |
| MMLU | Coming soon | 85.1% | Coming soon |
| MMLU-Pro | Coming soon | 80% | Coming soon |

### Instruction Following

- Winner: Insufficient shared evidence
- GLM-5.1 public-lane score: 93.8 (#7/157)
- Sarvam 30B public-lane score: 28.8 (#148/157)

### Mathematics

- Winner: Insufficient shared evidence
- GLM-5.1 public-lane score: 55.9 (#8/12)
- Sarvam 30B public-lane score: Coming soon

| Benchmark | GLM-5.1 | Sarvam 30B | Winner |
|-----------|-----------|-----------|--------|
| AIME26 | 95.3% | Coming soon | Coming soon |
| HMMT Nov 2025 | 94.0% | 74.2% | GLM-5.1 |
| HMMT Feb 2026 | 82.6% | Coming soon | Coming soon |
| MMAnswerBench | 83.8% | Coming soon | Coming soon |
| FrontierMath v2 (Tiers 1-3) | 36.842% | Coming soon | Coming soon |
| MATH-500 | Coming soon | 97% | Coming soon |
| HMMT Feb 2025 | Coming soon | 73.3% | Coming soon |

## FAQ

### Is there enough evidence to pick between GLM-5.1 and Sarvam 30B?

Not yet. The models share only 2 sourced benchmark rows, so this mirror reports the available measurements and metadata without naming a broad winner.

### What can I compare safely on this page?

Published pricing, context windows, model type, and individual shared benchmark rows are directly comparable. Independent overall scores and non-overlapping benchmark coverage are labeled separately and should not be read as a controlled head-to-head result.

## Related Comparisons

- [GLM-5.1 vs GLM-5.3](/compare/glm-5-1-vs-glm-5-3)
- [Sarvam 30B vs GLM-5.3](/compare/glm-5-3-vs-sarvam-30b)
- [GLM-5.1 vs GLM-5.2](/compare/glm-5-1-vs-glm-5-2)
- [Sarvam 30B vs GLM-5.2](/compare/glm-5-2-vs-sarvam-30b)

## Explore More

- [GLM-5.1 profile](/models/glm-5-1)
- [Sarvam 30B profile](/models/sarvam-30b)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)