Model comparison
Gemini 3.1 Flash-Lite vs GLM-4.7
Head-to-head evidence from 16 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemini 3.1 Flash-Lite #111 (Supported); GLM-4.7 #42 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemini 3.1 Flash-Lite and GLM-4.7 share 16 comparable benchmark results. 0 of 8 categories are comparable. 4 results are unique to Gemini 3.1 Flash-Lite; 14 to GLM-4.7.
Updated July 22, 2026- Shared results
- 16
- Gemini 3.1 Flash-Lite only
- 4
- GLM-4.7 only
- 14
- Comparable categories
- 0 / 8
Benchmark data for Gemini 3.1 Flash-Lite and GLM-4.7 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 16 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.
Gemini 3.1 Flash-Lite is priced at $0.25 input / $1.50 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for GLM-4.7. Gemini 3.1 Flash-Lite has 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 | Gemini 3.1 Flash-Lite | Δ | GLM-4.7 |
|---|---|---|---|
| Agentic | Gemini 3.1 Flash-LiteNot measured | MarginNo overlap | GLM-4.745.7 |
| Coding | Gemini 3.1 Flash-LiteNot measured | MarginNo overlap | GLM-4.775.4 |
| Knowledge | Gemini 3.1 Flash-LiteNot measured | MarginNo overlap | GLM-4.751.8 |
| Math | Gemini 3.1 Flash-LiteNot measured | MarginNo overlap | GLM-4.71.8 |
| Multimodal | Gemini 3.1 Flash-Lite73.2 | MarginNo overlap | GLM-4.7Not measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemini 3.1 Flash-Lite | GLM-4.7 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemini 3.1 Flash-Lite$0.25 input / $1.5 output | GLM-4.7$0 input / $0 output | GLM-4.7 has the lower combined listed price. |
| Generation speedtokens per second | Gemini 3.1 Flash-Lite205 tok/s | GLM-4.782 tok/s | Gemini 3.1 Flash-Lite has the higher measured throughput. |
| First-answer latencyseconds to first token | Gemini 3.1 Flash-Lite7.50 s | GLM-4.71.10 s | GLM-4.7 reaches the first token sooner. |
| Context windowmaximum listed tokens | Gemini 3.1 Flash-Lite1M | GLM-4.7200K | Gemini 3.1 Flash-Lite lists the larger context window. |
Benchmark Deep Dive
Agentic9 benchmarks
| Benchmark | Gemini 3.1 Flash-Lite | GLM-4.7 | Result |
|---|---|---|---|
| AA Agentic IndexSource | 6.2% | 25.4% | GLM-4.7 leads |
| APEX-Agents-AASource | 12.2% | — | Not comparable |
| τ²-bench resultsSource | 31.3% | 95.9% | GLM-4.7 leads |
| GDPval-AASource | 7.1% | 33.3% | GLM-4.7 leads |
| GDPval-AASource | 642 | 1165 | GLM-4.7 leads |
| Gert LabsSource | 38.46% | 39.95% | GLM-4.7 leads |
| Terminal-Bench 2.0Source | — | 41% | Not comparable |
| BrowseCompSource | — | 52% | Not comparable |
| VITA-BenchSource | — | 15.5% | Not comparable |
Coding7 benchmarks
| Benchmark | Gemini 3.1 Flash-Lite | GLM-4.7 | Result |
|---|---|---|---|
| Vibe Code BenchSource | 0.00% | — | Not comparable |
| AA Coding IndexSource | 34.7% | 45.3% | GLM-4.7 leads |
| AA-SciCodeSource | 41.9% | 45.1% | GLM-4.7 leads |
| SWE-bench VerifiedSource | — | 73.8% | Not comparable |
| LiveCodeBenchSource | — | 84.9% | Not comparable |
| SWE-RebenchSource | — | 58.7% | Not comparable |
| AA LiveCodeBenchSource | — | 89.4% | Not comparable |
Reasoning2 benchmarks
Knowledge9 benchmarks
| Benchmark | Gemini 3.1 Flash-Lite | GLM-4.7 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 25.0% | 33.7% | GLM-4.7 leads |
| AA-GPQA DiamondSource | 82.2% | 85.9% | GLM-4.7 leads |
| AA-HLESource | 16.2% | 25.1% | GLM-4.7 leads |
| AA-Omniscience IndexSource | -15.5% | -34.6% | Gemini 3.1 Flash-Lite leads |
| AA-Omniscience AccuracySource | 36.4% | 29.3% | Gemini 3.1 Flash-Lite leads |
| AA-Omniscience Hallucination RateSource | 81.6% | 90.3% | Gemini 3.1 Flash-Lite leads |
| GPQASource | — | 85.7% | Not comparable |
| MMLU-ProSource | — | 84.3% | Not comparable |
| HLESource | — | 24.8% | Not comparable |
Math3 benchmarks
Multimodal3 benchmarks
Inst. Following1 benchmarks
| Benchmark | Gemini 3.1 Flash-Lite | GLM-4.7 | Result |
|---|---|---|---|
| AA-IFBenchSource | 77.2% | 67.9% | Gemini 3.1 Flash-Lite leads |
Frequently Asked Questions (3)
Can I compare Gemini 3.1 Flash-Lite and GLM-4.7 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 Gemini 3.1 Flash-Lite and GLM-4.7 today?
Gemini 3.1 Flash-Lite: $0.25 input / $1.50 output per 1M tokens GLM-4.7: $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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