Model comparison
GLM-4.7 vs GPT-OSS 20B
Head-to-head evidence from 16 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GLM-4.7 #42 (Supported); GPT-OSS 20B #159 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GLM-4.7 and GPT-OSS 20B share 16 comparable benchmark results. 0 of 8 categories are comparable. 14 results are unique to GLM-4.7; 2 to GPT-OSS 20B.
Updated July 20, 2026- Shared results
- 16
- GLM-4.7 only
- 14
- GPT-OSS 20B only
- 2
- Comparable categories
- 0 / 8
Benchmark data for GLM-4.7 and GPT-OSS 20B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 16 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-4.7 has the larger context window at 200K, compared with 128K for GPT-OSS 20B.
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-4.7 | Δ | GPT-OSS 20B |
|---|---|---|---|
| Agentic | GLM-4.745.7 | MarginNo overlap | GPT-OSS 20BNot measured |
| Coding | GLM-4.775.4 | MarginNo overlap | GPT-OSS 20BNot measured |
| Knowledge | GLM-4.751.8 | MarginNo overlap | GPT-OSS 20BNot measured |
| Math | GLM-4.71.8 | MarginNo overlap | GPT-OSS 20BNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GLM-4.7 | GPT-OSS 20B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GLM-4.7$0 input / $0 output | GPT-OSS 20B$0 input / $0 output | Listed prices are equal. |
| Generation speedtokens per second | GLM-4.782 tok/s | GPT-OSS 20B313 tok/s | GPT-OSS 20B has the higher measured throughput. |
| First-answer latencyseconds to first token | GLM-4.71.10 s | GPT-OSS 20B0.65 s | GPT-OSS 20B reaches the first token sooner. |
| Context windowmaximum listed tokens | GLM-4.7200K | GPT-OSS 20B128K | GLM-4.7 lists the larger context window. |
Benchmark Deep Dive
Agentic9 benchmarks
| Benchmark | GLM-4.7 | GPT-OSS 20B | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 41% | — | Not comparable |
| BrowseCompSource | 52% | — | Not comparable |
| VITA-BenchSource | 15.5% | — | Not comparable |
| AA Agentic IndexSource | 25.4% | 3.1% | GLM-4.7 leads |
| τ²-bench resultsSource | 95.9% | 60.2% | GLM-4.7 leads |
| Gert LabsSource | 39.95% | — | Not comparable |
| GDPval-AASource | 33.3% | 3.0% | GLM-4.7 leads |
| GDPval-AASource | 1165 | 559 | GLM-4.7 leads |
| APEX-Agents-AASource | — | 0.7% | Not comparable |
Coding7 benchmarks
| Benchmark | GLM-4.7 | GPT-OSS 20B | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 73.8% | — | Not comparable |
| LiveCodeBenchSource | 84.9% | — | Not comparable |
| SWE-RebenchSource | 58.7% | — | Not comparable |
| AA Coding IndexSource | 45.3% | 20.7% | GLM-4.7 leads |
| AA-SciCodeSource | 45.1% | 34.4% | GLM-4.7 leads |
| AA LiveCodeBenchSource | 89.4% | — | Not comparable |
| React Native EvalsSource | — | 71% | Not comparable |
Reasoning2 benchmarks
Knowledge9 benchmarks
| Benchmark | GLM-4.7 | GPT-OSS 20B | Result |
|---|---|---|---|
| GPQASource | 85.7% | — | Not comparable |
| MMLU-ProSource | 84.3% | — | Not comparable |
| HLESource | 24.8% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 33.7% | 14.9% | GLM-4.7 leads |
| AA-GPQA DiamondSource | 85.9% | 68.8% | GLM-4.7 leads |
| AA-HLESource | 25.1% | 9.8% | GLM-4.7 leads |
| AA-Omniscience IndexSource | -34.6% | -63.9% | GLM-4.7 leads |
| AA-Omniscience AccuracySource | 29.3% | 15.5% | GLM-4.7 leads |
| AA-Omniscience Hallucination RateSource | 90.3% | 94.1% | GLM-4.7 leads |
Math3 benchmarks
Multimodal1 benchmarks
| Benchmark | GLM-4.7 | GPT-OSS 20B | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1258 | 885 | GLM-4.7 leads |
Inst. Following1 benchmarks
| Benchmark | GLM-4.7 | GPT-OSS 20B | Result |
|---|---|---|---|
| AA-IFBenchSource | 67.9% | 65.1% | GLM-4.7 leads |
Frequently Asked Questions (3)
Can I compare GLM-4.7 and GPT-OSS 20B 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-4.7 and GPT-OSS 20B today?
GLM-4.7: $0.00 input / $0.00 output per 1M tokens GPT-OSS 20B: $0.00 input / $0.00 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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