Model comparison
GLM-4.7 vs Interfaze Beta
Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use BenchLM's provisional ranking lane.
Verified leaderboard positions: GLM-4.7 #32; Interfaze Beta unranked
Evidence parity. GLM-4.7 and Interfaze Beta share 1 comparable benchmark result. 1 of 8 categories are comparable. 30 results are unique to GLM-4.7; 9 to Interfaze Beta.
Updated July 14, 2026- Shared results
- 1
- GLM-4.7 only
- 30
- Interfaze Beta only
- 9
- Comparable categories
- 1 / 8
Pick Interfaze Beta if you want the stronger benchmark profile. GLM-4.7 only becomes the better choice if you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Interfaze Beta finishes one point ahead on BenchLM's provisional leaderboard, 63 to 62. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
Interfaze Beta's sharpest advantage is in knowledge, where it averages 89.9 against 52.1. The single biggest benchmark swing on the page is GPQA, 85.7% to 89.9%.
Interfaze Beta is also the more expensive model on tokens at $1.50 input / $3.50 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for GLM-4.7. That is roughly Infinityx on output cost alone. Interfaze Beta gives you the larger context window at 1M, compared with 200K for GLM-4.7.
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 | Interfaze Beta |
|---|---|---|---|
| Knowledge | GLM-4.752.1 | Margin→ 37.8 | Interfaze Beta89.9 |
| Agentic | GLM-4.745.7 | MarginNo overlap | Interfaze BetaNot measured |
| Coding | GLM-4.773.8 | MarginNo overlap | Interfaze BetaNot measured |
| Math | GLM-4.71.8 | MarginNo overlap | Interfaze BetaNot measured |
| Multimodal | GLM-4.7Not measured | MarginNo overlap | Interfaze Beta71.1 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
GPQA
KnowledgeA 85.7%B 89.9%Winner: Interfaze BetaΔ 4.2GPQA: GLM-4.7 scored 85.7%; Interfaze Beta scored 89.9%. Interfaze Beta wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GLM-4.7 | Interfaze Beta | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GLM-4.7$0 input / $0 output | Interfaze Beta$1.5 input / $3.5 output | GLM-4.7 has the lower combined listed price. |
| Generation speedtokens per second | GLM-4.782 tok/s | Interfaze BetaNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GLM-4.71.10 s | Interfaze BetaNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GLM-4.7200K | Interfaze Beta1M | Interfaze Beta lists the larger context window. |
Benchmark Deep Dive
Agentic8 benchmarks
| Benchmark | GLM-4.7 | Interfaze Beta | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 41% | — | Not comparable |
| BrowseCompSource | 52% | — | Not comparable |
| VITA-BenchSource | 15.5% | — | Not comparable |
| AA Agentic IndexSource | 25.4% | — | Not comparable |
| Tau2-TelecomSource | 95.9% | — | Not comparable |
| Gert LabsSource | 39.95% | — | Not comparable |
| GDPval-AASource | 33.3% | — | Not comparable |
| GDPval-AASource | 1165 | — | Not comparable |
Coding8 benchmarks
| Benchmark | GLM-4.7 | Interfaze Beta | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 73.8% | — | Not comparable |
| LiveCodeBenchSource | 84.9% | — | Not comparable |
| SWE-RebenchSource | 58.7% | — | Not comparable |
| AA Coding IndexSource | 45.3% | — | Not comparable |
| Terminal-Bench HardSource | 31.8% | — | Not comparable |
| AA-SciCodeSource | 45.1% | — | Not comparable |
| AA LiveCodeBenchSource | 89.4% | — | Not comparable |
| Spider 2.0-LiteSource | — | 52.9% | Not comparable |
Reasoning2 benchmarks
KnowledgeInterfaze Beta wins11 benchmarks
| Benchmark | GLM-4.7 | Interfaze Beta | Result |
|---|---|---|---|
| GPQASource | 85.7% | 89.9% | Interfaze Beta leads |
| MMLU-ProSource | 84.3% | — | Not comparable |
| HLESource | 24.8% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 33.7% | — | Not comparable |
| AA-GPQA DiamondSource | 85.9% | — | Not comparable |
| AA-HLESource | 25.1% | — | Not comparable |
| AA-Omniscience IndexSource | -34.6% | — | Not comparable |
| AA-Omniscience AccuracySource | 29.3% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 90.3% | — | Not comparable |
| GPQA-DSource | — | 89.9% | Not comparable |
| MMMLUSource | — | 90.9% | Not comparable |
Math3 benchmarks
Multimodal6 benchmarks
Frequently Asked Questions (2)
Which is better, GLM-4.7 or Interfaze Beta?
Interfaze Beta is ahead on BenchLM's provisional leaderboard, 63 to 62. The biggest single separator in this matchup is GPQA, where the scores are 85.7% and 89.9%.
Which is better for knowledge tasks, GLM-4.7 or Interfaze Beta?
Interfaze Beta has the edge for knowledge tasks in this comparison, averaging 89.9 versus 52.1. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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