Model comparison
Gemini 3 Flash vs GLM-4.7
Head-to-head evidence from 15 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemini 3 Flash #49 (Supported); GLM-4.7 #42 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemini 3 Flash and GLM-4.7 share 15 comparable benchmark results. 1 of 8 categories are comparable. 4 results are unique to Gemini 3 Flash; 15 to GLM-4.7.
Updated July 20, 2026- Shared results
- 15
- Gemini 3 Flash only
- 4
- GLM-4.7 only
- 15
- Comparable categories
- 1 / 8
Pick GLM-4.7 if you want the stronger benchmark profile. Gemini 3 Flash only becomes the better choice if mathematics is the priority or you need the larger 1M context window.
Confidence note. This is a partial-evidence comparison with 15 shared benchmark results across 7 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
GLM-4.7 has the cleaner BenchAlign overall profile here, landing at 61.16 versus 60.49. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Gemini 3 Flash is also the more expensive model on tokens at $0.50 input / $3.00 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. GLM-4.7 is the reasoning model in the pair, while Gemini 3 Flash is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Gemini 3 Flash 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 | Gemini 3 Flash | Δ | GLM-4.7 |
|---|---|---|---|
| Math | Gemini 3 Flash27.8 | Margin← 26.0 | GLM-4.71.8 |
| Agentic | Gemini 3 FlashNot measured | MarginNo overlap | GLM-4.745.7 |
| Coding | Gemini 3 FlashNot measured | MarginNo overlap | GLM-4.775.4 |
| Knowledge | Gemini 3 FlashNot measured | MarginNo overlap | GLM-4.751.8 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
FrontierMath v2 (Tiers 1-3)
MathA 35.640%B 2.439%Winner: Gemini 3 FlashΔ 33.2FrontierMath v2 (Tiers 1-3): Gemini 3 Flash scored 35.640%; GLM-4.7 scored 2.439%. Gemini 3 Flash wins this benchmark. - Source ↗
FrontierMath v2 (Tier 4)
MathA 4.167%B 0.000%Winner: Gemini 3 FlashΔ 4.2FrontierMath v2 (Tier 4): Gemini 3 Flash scored 4.167%; GLM-4.7 scored 0.000%. Gemini 3 Flash wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemini 3 Flash | GLM-4.7 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemini 3 Flash$0.5 input / $3 output | GLM-4.7$0 input / $0 output | GLM-4.7 has the lower combined listed price. |
| Generation speedtokens per second | Gemini 3 Flash159 tok/s | GLM-4.782 tok/s | Gemini 3 Flash has the higher measured throughput. |
| First-answer latencyseconds to first token | Gemini 3 Flash1.19 s | GLM-4.71.10 s | GLM-4.7 reaches the first token sooner. |
| Context windowmaximum listed tokens | Gemini 3 Flash1M | GLM-4.7200K | Gemini 3 Flash lists the larger context window. |
Benchmark Deep Dive
Agentic10 benchmarks
| Benchmark | Gemini 3 Flash | GLM-4.7 | Result |
|---|---|---|---|
| Claw-EvalSource | 49.2% | — | Not comparable |
| τ²-bench resultsSource | 43.3% | 95.9% | GLM-4.7 leads |
| Gert LabsSource | 56.63% | 39.95% | Gemini 3 Flash leads |
| JobBenchSource | 11.4% | — | Not comparable |
| Terminal-Bench 2.0Source | — | 41% | Not comparable |
| BrowseCompSource | — | 52% | Not comparable |
| VITA-BenchSource | — | 15.5% | Not comparable |
| AA Agentic IndexSource | — | 25.4% | Not comparable |
| GDPval-AASource | — | 33.3% | Not comparable |
| GDPval-AASource | — | 1165 | Not comparable |
Coding7 benchmarks
| Benchmark | Gemini 3 Flash | GLM-4.7 | Result |
|---|---|---|---|
| Vibe Code BenchSource | 20.20% | — | Not comparable |
| AA-SciCodeSource | 49.9% | 45.1% | Gemini 3 Flash leads |
| 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 |
| AA LiveCodeBenchSource | — | 89.4% | Not comparable |
Reasoning2 benchmarks
Knowledge9 benchmarks
| Benchmark | Gemini 3 Flash | GLM-4.7 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 27.4% | 33.7% | GLM-4.7 leads |
| AA-GPQA DiamondSource | 81.2% | 85.9% | GLM-4.7 leads |
| AA-HLESource | 14.1% | 25.1% | GLM-4.7 leads |
| AA-Omniscience IndexSource | -3.6% | -34.6% | Gemini 3 Flash leads |
| AA-Omniscience AccuracySource | 45.5% | 29.3% | Gemini 3 Flash leads |
| AA-Omniscience Hallucination RateSource | 90.2% | 90.3% | Gemini 3 Flash leads |
| GPQASource | — | 85.7% | Not comparable |
| MMLU-ProSource | — | 84.3% | Not comparable |
| HLESource | — | 24.8% | Not comparable |
MathGemini 3 Flash wins3 benchmarks
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | Gemini 3 Flash | GLM-4.7 | Result |
|---|---|---|---|
| AA-IFBenchSource | 55.1% | 67.9% | GLM-4.7 leads |
Frequently Asked Questions (2)
Which is better, Gemini 3 Flash or GLM-4.7?
GLM-4.7 is ahead on BenchLM's BenchAlign leaderboard, 61.16 to 60.49. The biggest single separator in this matchup is FrontierMath v2 (Tiers 1-3), where the scores are 35.640% and 2.439%.
Which is better for math, Gemini 3 Flash or GLM-4.7?
Gemini 3 Flash has the edge for math in this comparison, averaging 27.8 versus 1.8. Inside this category, FrontierMath v2 (Tiers 1-3) is the benchmark that creates the most daylight between them.
Related Comparisons
Explore More
Choose a model with this week’s evidence
Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.
One email each week. Unsubscribe anytime.