Model comparison
GLM-5.2 vs GLM-5V-Turbo
Head-to-head evidence from 12 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Sibling matchup inside the GLM-5 family.
Public leaderboard positions: GLM-5.2 #37 (Estimated); GLM-5V-Turbo #39 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GLM-5.2 and GLM-5V-Turbo share 12 comparable benchmark results. 0 of 8 categories are comparable. 31 results are unique to GLM-5.2; 3 to GLM-5V-Turbo.
Updated July 23, 2026- Shared results
- 12
- GLM-5.2 only
- 31
- GLM-5V-Turbo only
- 3
- Comparable categories
- 0 / 8
Benchmark data for GLM-5.2 and GLM-5V-Turbo is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 6 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
GLM-5.2 is priced at $1.40 input / $4.40 output per 1M tokens, versus $1.20 input / $4.00 output per 1M tokens for GLM-5V-Turbo. GLM-5.2 has the larger context window at 1M, compared with 200K for GLM-5V-Turbo.
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-5.2 | Δ | GLM-5V-Turbo |
|---|---|---|---|
| Agentic | GLM-5.281.0 | MarginNo overlap | GLM-5V-TurboNot measured |
| Coding | GLM-5.262.1 | MarginNo overlap | GLM-5V-TurboNot measured |
| Knowledge | GLM-5.259.6 | MarginNo overlap | GLM-5V-TurboNot measured |
| Math | GLM-5.295.9 | MarginNo overlap | GLM-5V-TurboNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GLM-5.2 | GLM-5V-Turbo | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GLM-5.2$1.4 input / $4.4 output | GLM-5V-Turbo$1.2 input / $4 output | GLM-5V-Turbo has the lower combined listed price. |
| Generation speedtokens per second | GLM-5.2Not available | GLM-5V-TurboNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GLM-5.2Not available | GLM-5V-TurboNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GLM-5.21M | GLM-5V-Turbo200K | GLM-5.2 lists the larger context window. |
Benchmark Deep Dive
Agentic19 benchmarks
| Benchmark | GLM-5.2 | GLM-5V-Turbo | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 81% | — | Not comparable |
| MCP AtlasSource | 76.8% | — | Not comparable |
| ToolathlonSource | 48.2% | — | Not comparable |
| AA Agentic IndexSource | 43.1% | — | Not comparable |
| τ²-bench resultsSource | 99.1% | 98.5% | GLM-5.2 leads |
| GDPval-AASource | 50.7% | — | Not comparable |
| GDPval-AASource | 1514 | — | Not comparable |
| APEX-Agents-AASource | 33.7% | — | Not comparable |
| ResearchClawBenchSource | 20.7% | — | Not comparable |
| AA BriefcaseSource | 1260 | — | Not comparable |
| AA AutomationBenchSource | 27.8% | — | Not comparable |
| AA EnterpriseOps-GymSource | 42.7% | — | Not comparable |
| AA Harvey LABSource | 91.0% | — | Not comparable |
| AA ITBenchSource | 42.7% | — | Not comparable |
| AA Tau3 BankingSource | 26.8% | — | Not comparable |
| terminalBenchHardSource | 50.8% | — | Not comparable |
| aaTerminalBench21Source | 77.9% | — | Not comparable |
| Claw-EvalSource | — | 53.8% | Not comparable |
| Gert LabsSource | — | 30.76% | Not comparable |
Coding7 benchmarks
| Benchmark | GLM-5.2 | GLM-5V-Turbo | Result |
|---|---|---|---|
| SWE-bench ProSource | 62.1% | — | Not comparable |
| NL2RepoSource | 48.9% | — | Not comparable |
| Terminal-Bench 2.0Source | 81.0% | — | Not comparable |
| ProgramBenchSource | 63.7% | — | Not comparable |
| cursorBench32Source | 55.0% | — | Not comparable |
| AA Coding IndexSource | 68.8% | — | Not comparable |
| AA-SciCodeSource | 50.5% | 43.5% | GLM-5.2 leads |
Reasoning2 benchmarks
Knowledge11 benchmarks
| Benchmark | GLM-5.2 | GLM-5V-Turbo | Result |
|---|---|---|---|
| GPQASource | 91.2% | — | Not comparable |
| GPQA-DSource | 91.2% | — | Not comparable |
| HLESource | 54.7% | — | Not comparable |
| HLE w/o toolsSource | 40.5% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 51.1% | 34.5% | GLM-5.2 leads |
| AA-GPQA DiamondSource | 89.5% | 80.9% | GLM-5.2 leads |
| AA-HLESource | 40.1% | 15.8% | GLM-5.2 leads |
| AA-Omniscience IndexSource | 4.0% | -19.0% | GLM-5.2 leads |
| AA-Omniscience AccuracySource | 25.1% | 29.1% | GLM-5V-Turbo leads |
| AA-Omniscience Hallucination RateSource | 28.1% | 67.9% | GLM-5.2 leads |
| AA Openness IndexSource | 44.4% | — | Not comparable |
Math4 benchmarks
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | GLM-5.2 | GLM-5V-Turbo | Result |
|---|---|---|---|
| AA-IFBenchSource | 73.3% | 61.1% | GLM-5.2 leads |
Frequently Asked Questions (3)
Can I compare GLM-5.2 and GLM-5V-Turbo on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for GLM-5.2 and GLM-5V-Turbo today?
GLM-5.2: $1.40 input / $4.40 output per 1M tokens GLM-5V-Turbo: $1.20 input / $4.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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