Model comparison
DeepSeek V4 Pro (High) vs GLM-5.1
Head-to-head evidence from 23 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: DeepSeek V4 Pro (High) #81 (Estimated); GLM-5.1 #18 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V4 Pro (High) and GLM-5.1 share 23 comparable benchmark results. 4 of 8 categories are comparable. 15 results are unique to DeepSeek V4 Pro (High); 13 to GLM-5.1.
Updated July 23, 2026- Shared results
- 23
- DeepSeek V4 Pro (High) only
- 15
- GLM-5.1 only
- 13
- Comparable categories
- 4 / 8
Pick GLM-5.1 if you want the stronger benchmark profile. DeepSeek V4 Pro (High) only becomes the better choice if mathematics is the priority or you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 23 shared benchmark results across 7 evidence categories; 4 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
GLM-5.1 is clearly ahead on the BenchAlign aggregate, 67.74 to 55.47. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GLM-5.1 is also the more expensive model on tokens at $1.40 input / $4.40 output per 1M tokens, versus $0.43 input / $0.87 output per 1M tokens for DeepSeek V4 Pro (High). That is roughly 5.1x on output cost alone. DeepSeek V4 Pro (High) gives you the larger context window at 1M, compared with 203K for GLM-5.1.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | DeepSeek V4 Pro (High) | Δ | GLM-5.1 |
|---|---|---|---|
| Math | DeepSeek V4 Pro (High)94.0 | Margin← 32.0 | GLM-5.162.0 |
| Coding | DeepSeek V4 Pro (High)69.8 | Margin← 8.5 | GLM-5.161.3 |
| Agentic | DeepSeek V4 Pro (High)70.6 | Margin← 5.2 | GLM-5.165.4 |
| Knowledge | DeepSeek V4 Pro (High)57.0 | Margin← 4.7 | GLM-5.152.3 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
HLE
KnowledgeA 34.5%B 52.3%Winner: GLM-5.1Δ 17.8HLE: DeepSeek V4 Pro (High) scored 34.5%; GLM-5.1 scored 52.3%. GLM-5.1 wins this benchmark. - Source ↗
BrowseComp
AgenticA 80.4%B 68%Winner: DeepSeek V4 Pro (High)Δ 12.4BrowseComp: DeepSeek V4 Pro (High) scored 80.4%; GLM-5.1 scored 68%. DeepSeek V4 Pro (High) wins this benchmark. - Source ↗
HMMT Feb 2026
MathA 94.0%B 82.6%Winner: DeepSeek V4 Pro (High)Δ 11.4HMMT Feb 2026: DeepSeek V4 Pro (High) scored 94.0%; GLM-5.1 scored 82.6%. DeepSeek V4 Pro (High) wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 54.4%B 58.4%Winner: GLM-5.1Δ 4SWE-bench Pro: DeepSeek V4 Pro (High) scored 54.4%; GLM-5.1 scored 58.4%. GLM-5.1 wins this benchmark. - Source ↗
Terminal-Bench 2.0
AgenticA 63.3%B 63.5%Winner: GLM-5.1Δ 0.2Terminal-Bench 2.0: DeepSeek V4 Pro (High) scored 63.3%; GLM-5.1 scored 63.5%. GLM-5.1 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek V4 Pro (High) | GLM-5.1 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V4 Pro (High)$0.435 input / $0.87 output | GLM-5.1$1.4 input / $4.4 output | DeepSeek V4 Pro (High) has the lower combined listed price. |
| Generation speedtokens per second | DeepSeek V4 Pro (High)Not available | GLM-5.1Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek V4 Pro (High)Not available | GLM-5.1Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek V4 Pro (High)1M | GLM-5.1203K | DeepSeek V4 Pro (High) lists the larger context window. |
Benchmark Deep Dive
AgenticDeepSeek V4 Pro (High) wins14 benchmarks
| Benchmark | DeepSeek V4 Pro (High) | GLM-5.1 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 63.3% | 63.5% | GLM-5.1 leads |
| BrowseCompSource | 80.4% | 68% | DeepSeek V4 Pro (High) leads |
| HLE w/ toolsSource | 44.7% | — | Not comparable |
| MCP AtlasSource | 74.2% | 71.8% | DeepSeek V4 Pro (High) leads |
| ToolathlonSource | 49% | — | Not comparable |
| τ²-bench resultsSource | 94.2% | 97.7% | GLM-5.1 leads |
| GDPval-AASource | 39.9% | 37.8% | DeepSeek V4 Pro (High) leads |
| GDPval-AASource | 1299 | 1257 | DeepSeek V4 Pro (High) leads |
| AA Agentic IndexSource | 34.4% | 29.9% | DeepSeek V4 Pro (High) leads |
| τ³-bench resultsSource | — | 70.6% | Not comparable |
| CyberGymSource | — | 68.7% | Not comparable |
| Claw-EvalSource | — | 62.3% | Not comparable |
| Gert LabsSource | — | 60.11% | Not comparable |
| ResearchClawBenchSource | — | 18.2% | Not comparable |
CodingDeepSeek V4 Pro (High) wins10 benchmarks
| Benchmark | DeepSeek V4 Pro (High) | GLM-5.1 | Result |
|---|---|---|---|
| CodeforcesSource | 2919.0 | — | Not comparable |
| SWE-bench VerifiedSource | 79.4% | — | Not comparable |
| SWE-bench ProSource | 54.4% | 58.4% | GLM-5.1 leads |
| SWE MultilingualSource | 74.1% | — | Not comparable |
| Terminal-Bench 2.0Source | 63.3% | — | Not comparable |
| AA-SciCodeSource | 46.4% | 43.8% | DeepSeek V4 Pro (High) leads |
| AA Coding IndexSource | 58.7% | 55.8% | DeepSeek V4 Pro (High) leads |
| NL2RepoSource | — | 42.7% | Not comparable |
| SWE-RebenchSource | — | 62.7% | Not comparable |
| Vibe Code BenchSource | — | 31.46% | Not comparable |
Reasoning4 benchmarks
KnowledgeDeepSeek V4 Pro (High) wins12 benchmarks
| Benchmark | DeepSeek V4 Pro (High) | GLM-5.1 | Result |
|---|---|---|---|
| MMLU-ProSource | 87.1% | — | Not comparable |
| SimpleQASource | 46.2% | — | Not comparable |
| Chinese-SimpleQASource | 77.7% | — | Not comparable |
| GPQASource | 89.1% | — | Not comparable |
| GPQA-DSource | 89.1% | 86.2% | DeepSeek V4 Pro (High) leads |
| HLESource | 34.5% | 52.3% | GLM-5.1 leads |
| Artificial Analysis Intelligence IndexSource | 43.1% | 40.2% | DeepSeek V4 Pro (High) leads |
| AA-GPQA DiamondSource | 90.5% | 86.8% | DeepSeek V4 Pro (High) leads |
| AA-HLESource | 33.5% | 28.0% | DeepSeek V4 Pro (High) leads |
| AA-Omniscience IndexSource | -9.7% | 1.9% | GLM-5.1 leads |
| AA-Omniscience AccuracySource | 41.8% | 24.2% | DeepSeek V4 Pro (High) leads |
| AA-Omniscience Hallucination RateSource | 88.6% | 29.4% | GLM-5.1 leads |
MathDeepSeek V4 Pro (High) wins9 benchmarks
| Benchmark | DeepSeek V4 Pro (High) | GLM-5.1 | Result |
|---|---|---|---|
| HMMT Feb 2026Source | 94.0% | 82.6% | DeepSeek V4 Pro (High) leads |
| IMOAnswerBenchSource | 88.0% | — | Not comparable |
| ApexSource | 27.4% | — | Not comparable |
| Apex ShortlistSource | 85.5% | — | Not comparable |
| AIME26Source | — | 95.3% | Not comparable |
| HMMT Nov 2025Source | — | 94.0% | Not comparable |
| MMAnswerBenchSource | — | 83.8% | Not comparable |
| FrontierMath v2 (Tiers 1-3)Source | — | 33.448% | Not comparable |
| FrontierMath v2 (Tier 4)Source | — | 12.500% | Not comparable |
Multimodal1 benchmarks
| Benchmark | DeepSeek V4 Pro (High) | GLM-5.1 | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1264 | 1305 | GLM-5.1 leads |
Inst. Following1 benchmarks
| Benchmark | DeepSeek V4 Pro (High) | GLM-5.1 | Result |
|---|---|---|---|
| AA-IFBenchSource | 71.3% | 76.3% | GLM-5.1 leads |
Frequently Asked Questions (5)
Which is better, DeepSeek V4 Pro (High) or GLM-5.1?
GLM-5.1 is ahead on BenchLM's BenchAlign leaderboard, 67.74 to 55.47. The biggest single separator in this matchup is HLE, where the scores are 34.5% and 52.3%.
Which is better for knowledge tasks, DeepSeek V4 Pro (High) or GLM-5.1?
DeepSeek V4 Pro (High) has the edge for knowledge tasks in this comparison, averaging 57 versus 52.3. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.
Which is better for coding, DeepSeek V4 Pro (High) or GLM-5.1?
DeepSeek V4 Pro (High) has the edge for coding in this comparison, averaging 69.8 versus 61.3. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Which is better for math, DeepSeek V4 Pro (High) or GLM-5.1?
DeepSeek V4 Pro (High) has the edge for math in this comparison, averaging 94 versus 62. Inside this category, HMMT Feb 2026 is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, DeepSeek V4 Pro (High) or GLM-5.1?
DeepSeek V4 Pro (High) has the edge for agentic tasks in this comparison, averaging 70.6 versus 65.4. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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