Model comparison
GLM-4.6 vs Step 3.7 Flash
Head-to-head evidence from 12 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
BenchAlign evidence: GLM-4.6 supported; Step 3.7 Flash estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GLM-4.6 and Step 3.7 Flash share 12 comparable benchmark results. 0 of 8 categories are comparable. 3 results are unique to GLM-4.6; 18 to Step 3.7 Flash.
Updated July 16, 2026- Shared results
- 12
- GLM-4.6 only
- 3
- Step 3.7 Flash only
- 18
- Comparable categories
- 0 / 8
Benchmark data for GLM-4.6 and Step 3.7 Flash is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 5 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.
Step 3.7 Flash has the larger context window at 256K, compared with 200K for GLM-4.6.
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-4.6 | Δ | Step 3.7 Flash |
|---|---|---|---|
| Agentic | GLM-4.6Not measured | MarginNo overlap | Step 3.7 Flash66.4 |
| Coding | GLM-4.6Not measured | MarginNo overlap | Step 3.7 Flash56.3 |
| Math | GLM-4.63.4 | MarginNo overlap | Step 3.7 FlashNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GLM-4.6 | Step 3.7 Flash | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GLM-4.6Not available | Step 3.7 Flash$0.2 input / $1.15 output | A complete price comparison is not available. |
| Generation speedtokens per second | GLM-4.6Not available | Step 3.7 FlashNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GLM-4.6Not available | Step 3.7 FlashNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GLM-4.6200K | Step 3.7 Flash256K | Step 3.7 Flash lists the larger context window. |
Benchmark Deep Dive
Agentic12 benchmarks
| Benchmark | GLM-4.6 | Step 3.7 Flash | Result |
|---|---|---|---|
| τ²-bench resultsSource | 76.9% | 98.5% | Step 3.7 Flash leads |
| Terminal-Bench 2.0Source | — | 59.5% | Not comparable |
| BrowseCompSource | — | 75.8% | Not comparable |
| DeepSearchQASource | — | 92.8% | Not comparable |
| GDPval-AASource | — | 25.9% | Not comparable |
| ToolathlonSource | — | 49.5% | Not comparable |
| Claw-EvalSource | — | 67.1% | Not comparable |
| HLE w/ toolsSource | — | 47.2% | Not comparable |
| Gert LabsSource | — | 51.57% | Not comparable |
| AA Agentic IndexSource | — | 21.5% | Not comparable |
| GDPval-AASource | — | 1017 | Not comparable |
| APEX-Agents-AASource | — | 14.8% | Not comparable |
Coding6 benchmarks
| Benchmark | GLM-4.6 | Step 3.7 Flash | Result |
|---|---|---|---|
| Vibe Code BenchSource | 3.09% | — | Not comparable |
| Terminal-Bench HardSource | 28.8% | 35.6% | Step 3.7 Flash leads |
| AA-SciCodeSource | 33.1% | 40.0% | Step 3.7 Flash leads |
| SWE-bench ProSource | — | 56.3% | Not comparable |
| Terminal-Bench 2.0Source | — | 59.5% | Not comparable |
| AA Coding IndexSource | — | 39.6% | Not comparable |
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | GLM-4.6 | Step 3.7 Flash | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 23.0% | 30.3% | Step 3.7 Flash leads |
| AA-GPQA DiamondSource | 63.2% | 80.9% | Step 3.7 Flash leads |
| AA-HLESource | 5.2% | 19.9% | Step 3.7 Flash leads |
| AA-Omniscience IndexSource | -31.6% | -37.5% | GLM-4.6 leads |
| AA-Omniscience AccuracySource | 20.8% | 25.4% | Step 3.7 Flash leads |
| AA-Omniscience Hallucination RateSource | 66.1% | 84.4% | GLM-4.6 leads |
Math2 benchmarks
Multimodal4 benchmarks
Inst. Following1 benchmarks
| Benchmark | GLM-4.6 | Step 3.7 Flash | Result |
|---|---|---|---|
| AA-IFBenchSource | 36.7% | 67.3% | Step 3.7 Flash leads |
Frequently Asked Questions (3)
Can I compare GLM-4.6 and Step 3.7 Flash 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-4.6 and Step 3.7 Flash today?
Step 3.7 Flash: $0.20 input / $1.15 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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