Model comparison
Gemini 2.5 Flash vs GLM-5
Head-to-head evidence from 14 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemini 2.5 Flash #130 (Supported); GLM-5 #28 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemini 2.5 Flash and GLM-5 share 14 comparable benchmark results. 1 of 8 categories are comparable. 1 result is unique to Gemini 2.5 Flash; 35 to GLM-5.
Updated July 20, 2026- Shared results
- 14
- Gemini 2.5 Flash only
- 1
- GLM-5 only
- 35
- Comparable categories
- 1 / 8
Pick GLM-5 if you want the stronger benchmark profile. Gemini 2.5 Flash only becomes the better choice if you want the cheaper token bill or you need the larger 1M context window.
Confidence note. This is a partial-evidence comparison with 14 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-5 is clearly ahead on the BenchAlign aggregate, 66.06 to 48.09. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GLM-5's sharpest advantage is in mathematics, where it averages 56.3 against 4.7. The single biggest benchmark swing on the page is FrontierMath v2 (Tiers 1-3), 4.844% to 16.434%.
GLM-5 is also the more expensive model on tokens at $1.00 input / $3.20 output per 1M tokens, versus $0.30 input / $2.50 output per 1M tokens for Gemini 2.5 Flash. Gemini 2.5 Flash gives you 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 2.5 Flash | Δ | GLM-5 |
|---|---|---|---|
| Math | Gemini 2.5 Flash4.7 | Margin→ 51.6 | GLM-556.3 |
| Agentic | Gemini 2.5 FlashNot measured | MarginNo overlap | GLM-556.2 |
| Coding | Gemini 2.5 FlashNot measured | MarginNo overlap | GLM-566.3 |
| Reasoning | Gemini 2.5 FlashNot measured | MarginNo overlap | GLM-560.8 |
| Knowledge | Gemini 2.5 FlashNot measured | MarginNo overlap | GLM-566.4 |
| Multilingual | Gemini 2.5 FlashNot measured | MarginNo overlap | GLM-583.1 |
| Inst. Following | Gemini 2.5 FlashNot measured | MarginNo overlap | GLM-592.6 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
FrontierMath v2 (Tiers 1-3)
MathA 4.844%B 16.434%Winner: GLM-5Δ 11.6FrontierMath v2 (Tiers 1-3): Gemini 2.5 Flash scored 4.844%; GLM-5 scored 16.434%. GLM-5 wins this benchmark. - Source ↗
FrontierMath v2 (Tier 4)
MathA 4.167%B 2.100%Winner: Gemini 2.5 FlashΔ 2.1FrontierMath v2 (Tier 4): Gemini 2.5 Flash scored 4.167%; GLM-5 scored 2.100%. Gemini 2.5 Flash wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemini 2.5 Flash | GLM-5 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemini 2.5 Flash$0.3 input / $2.5 output | GLM-5$1 input / $3.2 output | Gemini 2.5 Flash has the lower combined listed price. |
| Generation speedtokens per second | Gemini 2.5 Flash221 tok/s | GLM-574 tok/s | Gemini 2.5 Flash has the higher measured throughput. |
| First-answer latencyseconds to first token | Gemini 2.5 Flash0.50 s | GLM-51.64 s | Gemini 2.5 Flash reaches the first token sooner. |
| Context windowmaximum listed tokens | Gemini 2.5 Flash1M | GLM-5200K | Gemini 2.5 Flash lists the larger context window. |
Benchmark Deep Dive
Agentic13 benchmarks
| Benchmark | Gemini 2.5 Flash | GLM-5 | Result |
|---|---|---|---|
| τ²-bench resultsSource | 14.9% | 98.2% | 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 |
| APEX-Agents-AASource | — | 14.5% | Not comparable |
| Gert LabsSource | — | 50.99% | Not comparable |
Coding7 benchmarks
| Benchmark | Gemini 2.5 Flash | GLM-5 | Result |
|---|---|---|---|
| AA-SciCodeSource | 29.1% | 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 2.5 Flash | GLM-5 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 14.1% | 39.5% | GLM-5 leads |
| AA-GPQA DiamondSource | 68.3% | 82.0% | GLM-5 leads |
| AA-HLESource | 5.1% | 27.2% | GLM-5 leads |
| AA-Omniscience IndexSource | -42.0% | 2.0% | GLM-5 leads |
| AA-Omniscience AccuracySource | 26.5% | 26.9% | GLM-5 leads |
| AA-Omniscience Hallucination RateSource | 93.3% | 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 |
MathGLM-5 wins8 benchmarks
| Benchmark | Gemini 2.5 Flash | GLM-5 | Result |
|---|---|---|---|
| FrontierMath v2 (Tiers 1-3)Source | 4.844% | 16.434% | GLM-5 leads |
| FrontierMath v2 (Tier 4)Source | 4.167% | 2.100% | Gemini 2.5 Flash leads |
| 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 |
Multilingual2 benchmarks
Multimodal2 benchmarks
Frequently Asked Questions (2)
Which is better, Gemini 2.5 Flash or GLM-5?
GLM-5 is ahead on BenchLM's BenchAlign leaderboard, 66.06 to 48.09. The biggest single separator in this matchup is FrontierMath v2 (Tiers 1-3), where the scores are 4.844% and 16.434%.
Which is better for math, Gemini 2.5 Flash or GLM-5?
GLM-5 has the edge for math in this comparison, averaging 56.3 versus 4.7. Inside this category, FrontierMath v2 (Tiers 1-3) is the benchmark that creates the most daylight between them.
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