Model comparison
GLM-5 vs GPT-5.4 Pro
Head-to-head evidence from 4 shared benchmark results across 3 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GLM-5 #28 (Supported); GPT-5.4 Pro #44 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GLM-5 and GPT-5.4 Pro share 4 comparable benchmark results. 4 of 8 categories are comparable. 45 results are unique to GLM-5; 8 to GPT-5.4 Pro.
Updated July 23, 2026- Shared results
- 4
- GLM-5 only
- 45
- GPT-5.4 Pro only
- 8
- Comparable categories
- 4 / 8
Pick GLM-5 if you want the stronger benchmark profile. GPT-5.4 Pro only becomes the better choice if agentic is the priority or you need the larger 1.05M context window.
Confidence note. This is a partial-evidence comparison with 4 shared benchmark results across 3 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 is clearly ahead on the BenchAlign aggregate, 66.06 to 60.89. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GLM-5's sharpest advantage is in mathematics, where it averages 56.3 against 46.9. The single biggest benchmark swing on the page is FrontierMath v2 (Tier 4), 2.100% to 37.500%. GPT-5.4 Pro does hit back in agentic, so the answer changes if that is the part of the workload you care about most.
GPT-5.4 Pro is also the more expensive model on tokens at $30.00 input / $180.00 output per 1M tokens, versus $1.00 input / $3.20 output per 1M tokens for GLM-5. That is roughly 56.3x on output cost alone. GPT-5.4 Pro is the reasoning model in the pair, while GLM-5 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. GPT-5.4 Pro gives you the larger context window at 1.05M, compared with 200K for GLM-5.
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 | GLM-5 | Δ | GPT-5.4 Pro |
|---|---|---|---|
| Agentic | GLM-556.2 | Margin→ 33.1 | GPT-5.4 Pro89.3 |
| Reasoning | GLM-560.8 | Margin→ 22.5 | GPT-5.4 Pro83.3 |
| Math | GLM-556.3 | Margin← 9.4 | GPT-5.4 Pro46.9 |
| Knowledge | GLM-566.4 | Margin← 7.7 | GPT-5.4 Pro58.7 |
| Coding | GLM-566.3 | MarginNo overlap | GPT-5.4 ProNot measured |
| Multilingual | GLM-583.1 | MarginNo overlap | GPT-5.4 ProNot measured |
| Multimodal | GLM-5Not measured | MarginNo overlap | GPT-5.4 Pro94.0 |
| Inst. Following | GLM-592.6 | MarginNo overlap | GPT-5.4 ProNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
FrontierMath v2 (Tier 4)
MathA 2.100%B 37.500%Winner: GPT-5.4 ProΔ 35.4FrontierMath v2 (Tier 4): GLM-5 scored 2.100%; GPT-5.4 Pro scored 37.500%. GPT-5.4 Pro wins this benchmark. - Source ↗
FrontierMath v2 (Tiers 1-3)
MathA 16.434%B 50.000%Winner: GPT-5.4 ProΔ 33.6FrontierMath v2 (Tiers 1-3): GLM-5 scored 16.434%; GPT-5.4 Pro scored 50.000%. GPT-5.4 Pro wins this benchmark. - Source ↗
HLE
KnowledgeA 50.4%B 58.7%Winner: GPT-5.4 ProΔ 8.3HLE: GLM-5 scored 50.4%; GPT-5.4 Pro scored 58.7%. GPT-5.4 Pro wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GLM-5 | GPT-5.4 Pro | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GLM-5$1 input / $3.2 output | GPT-5.4 Pro$30 input / $180 output | GLM-5 has the lower combined listed price. |
| Generation speedtokens per second | GLM-574 tok/s | GPT-5.4 Pro74 tok/s | Measured throughput is equal. |
| First-answer latencyseconds to first token | GLM-51.64 s | GPT-5.4 Pro151.79 s | GLM-5 reaches the first token sooner. |
| Context windowmaximum listed tokens | GLM-5200K | GPT-5.4 Pro1.05M | GPT-5.4 Pro lists the larger context window. |
Benchmark Deep Dive
AgenticGPT-5.4 Pro wins14 benchmarks
| Benchmark | GLM-5 | GPT-5.4 Pro | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 56.2% | — | Not comparable |
| Claw-EvalSource | 57.7% | — | Not comparable |
| QwenClawBenchSource | 54.1% | — | Not comparable |
| τ³-bench resultsSource | 65.6% | — | Not comparable |
| DeepPlanningSource | 14.6% | — | Not comparable |
| ToolathlonSource | 38% | — | Not comparable |
| MCP AtlasSource | 31.1% | — | Not comparable |
| MCP-TasksSource | 60.8% | — | Not comparable |
| WideResearchSource | 69.8% | — | Not comparable |
| τ²-bench resultsSource | 98.2% | — | Not comparable |
| CyberGymSource | 43.2% | — | Not comparable |
| APEX-Agents-AASource | 14.5% | — | Not comparable |
| Gert LabsSource | 50.99% | — | Not comparable |
| BrowseCompSource | — | 89.3% | Not comparable |
Coding7 benchmarks
| Benchmark | GLM-5 | GPT-5.4 Pro | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 77.8% | — | Not comparable |
| SWE-bench Verified*Source | 72.8% | — | Not comparable |
| SWE-bench ProSource | 55.1% | — | Not comparable |
| SWE MultilingualSource | 73.3% | — | Not comparable |
| SWE-RebenchSource | 62.8% | — | Not comparable |
| React Native EvalsSource | 74.8% | — | Not comparable |
| AA-SciCodeSource | 46.2% | — | Not comparable |
ReasoningGPT-5.4 Pro wins5 benchmarks
KnowledgeGLM-5 wins15 benchmarks
| Benchmark | GLM-5 | GPT-5.4 Pro | Result |
|---|---|---|---|
| GPQASource | 86% | — | Not comparable |
| GPQA-DSource | 86.0% | — | Not comparable |
| SuperGPQASource | 66.8% | — | Not comparable |
| MMLU-ProSource | 85.7% | — | Not comparable |
| MMLU-Pro (Arcee)Source | 85.8% | — | Not comparable |
| HLESource | 50.4% | 58.7% | GPT-5.4 Pro leads |
| Artificial Analysis Intelligence IndexSource | 39.5% | — | Not comparable |
| AA-GPQA DiamondSource | 82.0% | — | Not comparable |
| AA-HLESource | 27.2% | — | Not comparable |
| AA-Omniscience IndexSource | 2.0% | — | Not comparable |
| AA-Omniscience AccuracySource | 26.9% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 34.0% | — | Not comparable |
| FrontierScienceSource | — | 36.7% | Not comparable |
| FrontierScience ResearchSource | — | 36.7% | Not comparable |
| HLE w/o toolsSource | — | 42.7% | Not comparable |
MathGLM-5 wins10 benchmarks
| Benchmark | GLM-5 | GPT-5.4 Pro | Result |
|---|---|---|---|
| AIME26Source | 95.8% | — | Not comparable |
| AIME25 (Arcee)Source | 93.3% | — | Not comparable |
| HMMT Feb 2025Source | 97.5% | — | Not comparable |
| HMMT Nov 2025Source | 96.9% | — | Not comparable |
| HMMT Feb 2026Source | 86.4% | — | Not comparable |
| MMAnswerBenchSource | 82.5% | — | Not comparable |
| FrontierMath v2 (Tiers 1-3)Source | 16.434% | 50.000% | GPT-5.4 Pro leads |
| FrontierMath v2 (Tier 4)Source | 2.100% | 37.500% | GPT-5.4 Pro leads |
| IPhO 2025 (Theory)Source | — | 93.5% | Not comparable |
| FrontierMath (legacy)Source | — | 50% | Not comparable |
Multilingual2 benchmarks
Multimodal2 benchmarks
Frequently Asked Questions (5)
Which is better, GLM-5 or GPT-5.4 Pro?
GLM-5 is ahead on BenchLM's BenchAlign leaderboard, 66.06 to 60.89. The biggest single separator in this matchup is FrontierMath v2 (Tier 4), where the scores are 2.100% and 37.500%.
Which is better for knowledge tasks, GLM-5 or GPT-5.4 Pro?
GLM-5 has the edge for knowledge tasks in this comparison, averaging 66.4 versus 58.7. Inside this category, HLE is the benchmark that creates the most daylight between them.
Which is better for math, GLM-5 or GPT-5.4 Pro?
GLM-5 has the edge for math in this comparison, averaging 56.3 versus 46.9. Inside this category, FrontierMath v2 (Tier 4) is the benchmark that creates the most daylight between them.
Which is better for reasoning, GLM-5 or GPT-5.4 Pro?
GPT-5.4 Pro has the edge for reasoning in this comparison, averaging 83.3 versus 60.8. Inside this category, CritPt is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, GLM-5 or GPT-5.4 Pro?
GPT-5.4 Pro has the edge for agentic tasks in this comparison, averaging 89.3 versus 56.2. GLM-5 stays close enough that the answer can still flip depending on your workload.
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