Model comparison
Gemini 3.1 Flash-Lite vs GLM-5
Head-to-head evidence from 13 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-5 #28 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemini 3.1 Flash-Lite and GLM-5 share 13 comparable benchmark results. 0 of 8 categories are comparable. 7 results are unique to Gemini 3.1 Flash-Lite; 36 to GLM-5.
Updated July 22, 2026- Shared results
- 13
- Gemini 3.1 Flash-Lite only
- 7
- GLM-5 only
- 36
- Comparable categories
- 0 / 8
Benchmark data for Gemini 3.1 Flash-Lite and GLM-5 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 13 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.
GLM-5 is priced at $1.00 input / $3.20 output per 1M tokens, versus $0.25 input / $1.50 output per 1M tokens for Gemini 3.1 Flash-Lite. Gemini 3.1 Flash-Lite has the larger context window at 1M, compared with 200K for GLM-5.
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-5 |
|---|---|---|---|
| Agentic | Gemini 3.1 Flash-LiteNot measured | MarginNo overlap | GLM-556.2 |
| Coding | Gemini 3.1 Flash-LiteNot measured | MarginNo overlap | GLM-566.3 |
| Reasoning | Gemini 3.1 Flash-LiteNot measured | MarginNo overlap | GLM-560.8 |
| Knowledge | Gemini 3.1 Flash-LiteNot measured | MarginNo overlap | GLM-566.4 |
| Math | Gemini 3.1 Flash-LiteNot measured | MarginNo overlap | GLM-556.3 |
| Multilingual | Gemini 3.1 Flash-LiteNot measured | MarginNo overlap | GLM-583.1 |
| Multimodal | Gemini 3.1 Flash-Lite73.2 | MarginNo overlap | GLM-5Not measured |
| Inst. Following | Gemini 3.1 Flash-LiteNot measured | MarginNo overlap | GLM-592.6 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemini 3.1 Flash-Lite | GLM-5 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemini 3.1 Flash-Lite$0.25 input / $1.5 output | GLM-5$1 input / $3.2 output | Gemini 3.1 Flash-Lite has the lower combined listed price. |
| Generation speedtokens per second | Gemini 3.1 Flash-Lite205 tok/s | GLM-574 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-51.64 s | GLM-5 reaches the first token sooner. |
| Context windowmaximum listed tokens | Gemini 3.1 Flash-Lite1M | GLM-5200K | Gemini 3.1 Flash-Lite lists the larger context window. |
Benchmark Deep Dive
Agentic16 benchmarks
| Benchmark | Gemini 3.1 Flash-Lite | GLM-5 | Result |
|---|---|---|---|
| AA Agentic IndexSource | 6.2% | — | Not comparable |
| APEX-Agents-AASource | 12.2% | 14.5% | GLM-5 leads |
| τ²-bench resultsSource | 31.3% | 98.2% | GLM-5 leads |
| GDPval-AASource | 7.1% | — | Not comparable |
| GDPval-AASource | 642 | — | Not comparable |
| Gert LabsSource | 38.46% | 50.99% | GLM-5 leads |
| Terminal-Bench 2.0Source | — | 56.2% | Not comparable |
| Claw-EvalSource | — | 57.7% | Not comparable |
| QwenClawBenchSource | — | 54.1% | Not comparable |
| τ³-bench resultsSource | — | 65.6% | Not comparable |
| DeepPlanningSource | — | 14.6% | Not comparable |
| ToolathlonSource | — | 38% | Not comparable |
| MCP AtlasSource | — | 31.1% | Not comparable |
| MCP-TasksSource | — | 60.8% | Not comparable |
| WideResearchSource | — | 69.8% | Not comparable |
| CyberGymSource | — | 43.2% | Not comparable |
Coding9 benchmarks
| Benchmark | Gemini 3.1 Flash-Lite | GLM-5 | Result |
|---|---|---|---|
| Vibe Code BenchSource | 0.00% | — | Not comparable |
| AA Coding IndexSource | 34.7% | — | Not comparable |
| AA-SciCodeSource | 41.9% | 46.2% | GLM-5 leads |
| SWE-bench VerifiedSource | — | 77.8% | Not comparable |
| SWE-bench Verified*Source | — | 72.8% | Not comparable |
| SWE-bench ProSource | — | 55.1% | Not comparable |
| SWE MultilingualSource | — | 73.3% | Not comparable |
| SWE-RebenchSource | — | 62.8% | Not comparable |
| React Native EvalsSource | — | 74.8% | Not comparable |
Reasoning4 benchmarks
Knowledge12 benchmarks
| Benchmark | Gemini 3.1 Flash-Lite | GLM-5 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 25.0% | 39.5% | GLM-5 leads |
| AA-GPQA DiamondSource | 82.2% | 82.0% | Gemini 3.1 Flash-Lite leads |
| AA-HLESource | 16.2% | 27.2% | GLM-5 leads |
| AA-Omniscience IndexSource | -15.5% | 2.0% | GLM-5 leads |
| AA-Omniscience AccuracySource | 36.4% | 26.9% | Gemini 3.1 Flash-Lite leads |
| AA-Omniscience Hallucination RateSource | 81.6% | 34.0% | GLM-5 leads |
| GPQASource | — | 86% | Not comparable |
| GPQA-DSource | — | 86.0% | Not comparable |
| SuperGPQASource | — | 66.8% | Not comparable |
| MMLU-ProSource | — | 85.7% | Not comparable |
| MMLU-Pro (Arcee)Source | — | 85.8% | Not comparable |
| HLESource | — | 50.4% | Not comparable |
Math8 benchmarks
| Benchmark | Gemini 3.1 Flash-Lite | GLM-5 | Result |
|---|---|---|---|
| AIME26Source | — | 95.8% | Not comparable |
| AIME25 (Arcee)Source | — | 93.3% | Not comparable |
| HMMT Feb 2025Source | — | 97.5% | Not comparable |
| HMMT Nov 2025Source | — | 96.9% | Not comparable |
| HMMT Feb 2026Source | — | 86.4% | Not comparable |
| MMAnswerBenchSource | — | 82.5% | Not comparable |
| FrontierMath v2 (Tiers 1-3)Source | — | 16.434% | Not comparable |
| FrontierMath v2 (Tier 4)Source | — | 2.100% | Not comparable |
Multilingual2 benchmarks
Multimodal3 benchmarks
Frequently Asked Questions (3)
Can I compare Gemini 3.1 Flash-Lite and GLM-5 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-5 today?
Gemini 3.1 Flash-Lite: $0.25 input / $1.50 output per 1M tokens GLM-5: $1.00 input / $3.20 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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