Gemini 2.5 Flash Lite vs GLM 5.3
GLM 5.3 leads Gemini 2.5 Flash Lite on the Artificial Analysis Intelligence Index, 44.8 to 10.4, and Gemini 2.5 Flash Lite costs 11.0x less per output token ($0.40 vs $4.40 per million). Updated October 21, 2026; 14 benchmarks have a result for both.
Gemini 2.5 Flash Lite or GLM 5.3: which to pick
Only GLM 5.3 has a coding score, 70.6 on the Vibe Coding Index; Gemini 2.5 Flash Lite has none, so the two cannot be ranked on coding.
Pick Gemini 2.5 Flash Lite for output tokens 11.0x cheaper ($0.40 vs $4.40 per million).
- Shared results
- 14
- Gemini 2.5 Flash Lite only
- 14
- GLM 5.3 only
- 86
- Like-for-like categories
- 5 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Only GLM 5.3 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
GLM 5.3
GLM 5.3 leads, 44.8 against 10.4.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only GLM 5.3 has a AA Agentic Index result, 53.1.
Directional only
Reasoning
GPQA Diamond
GLM 5.3
GLM 5.3 leads, 88.1% against 70.2%.
Same board, both measured
Math
AIME
No call
Only Gemini 2.5 Flash Lite has a AIME result, 42.1%.
Directional only
Knowledge
MMLU Pro
GLM 5.3
GLM 5.3 leads, 86.8% against 79.1%.
Same board, both measured
Web design
Design Arena: websites
No call
Only GLM 5.3 has a Design Arena: websites result, 1295.
Directional only
General
Vals Index
No call
Only GLM 5.3 has a Vals Index result, 59.7%.
Directional only
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemini 2.5 Flash Lite
Gemini 2.5 Flash Lite $0.0003, GLM 5.3 $0.0036 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only GLM 5.3 has the number, $0.36.
Directional only
At a glance
- Coding index
- Gemini 2.5 Flash Lite not benchmarked, GLM 5.3 70.6 from 6 benchmarks.
- Widest category
- Intelligence, 31.1 points apart on average over 2 shared benchmarks.
- Widest single gap
- LMCA: Gemini 2.5 Flash Lite 18.1% against GLM 5.3 55.5%, 37.4 points apart on a 0 to 100 scale.
- Output price
- Gemini 2.5 Flash Lite $0.40 against GLM 5.3 $4.40 per million output tokens, 11.0x apart.
- Context window
- Both take 1.05M tokens.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | Gemini 2.5 Flash Lite | Bars | GLM 5.3 | Ties |
|---|---|---|---|---|
| Coding | 0 | 1 | ||
| Intelligence | 0 | 2 | ||
| Reasoning | 0 | 3 | ||
| Knowledge | 0 | 4 | ||
| General | 0 | 4 | ||
| All shared boards | 0 | 14 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index01
| Benchmark | Gemini 2.5 Flash Lite | GLM 5.3 | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 82.8% | Only GLM 5.3 measured |
| LMArena WebDev | Not measured | 1621 | Only GLM 5.3 measured |
| AA Coding Index | Not measured | 74.8 | Only GLM 5.3 measured |
| LiveCodeBench (Vals AI) | 71.4% | 80.5% | GLM 5.3 |
| SWE-bench Verified (Vals AI) | Not measured | 95.4% | Only GLM 5.3 measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 38.9% | Only GLM 5.3 measured |
| Vibe Code Bench (Vals AI) | Not measured | 78.1% | Only GLM 5.3 measured |
| Code migration (Vals AI) | Not measured | 44.2% | Only GLM 5.3 measured |
| ProgramBench (Vals AI) | Not measured | 1.5% | Only GLM 5.3 measured |
| IOI (Vals AI) | Not measured | 68.4% | Only GLM 5.3 measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 71.5% | Only GLM 5.3 measured |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 20.0% | Only GLM 5.3 measured |
| SkillsBench (Vals AI) | Not measured | 47.5% | Only GLM 5.3 measured |
| CyberBench (Vals AI) | Not measured | 72.1% | Only GLM 5.3 measured |
| LiveCodeBench (Artificial Analysis run) | 59.3% | Not measured | Only Gemini 2.5 Flash Lite measured |
| SciCode | Not measured | 59.0% | Only GLM 5.3 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 4.5% | Not measured | Only Gemini 2.5 Flash Lite measured |
| FrontierCode | Not measured | 40.1% | Only GLM 5.3 measured |
| FrontierSWE | Not measured | 30.2% | Only GLM 5.3 measured |
| WeirdML | Not measured | 75.4% | Only GLM 5.3 measured |
| ALE-Bench | Not measured | 1317.4 | Only GLM 5.3 measured |
| LMArena Text: coding | Not measured | 1497 | Only GLM 5.3 measured |
| LMArena Text: software and IT | Not measured | 1493 | Only GLM 5.3 measured |
| LMArena WebDev: React | Not measured | 1641 | Only GLM 5.3 measured |
| LMArena WebDev: HTML | Not measured | 1595 | Only GLM 5.3 measured |
| Neither model has a result on the other 13 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Gemini 2.5 Flash Lite | GLM 5.3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 10.4 | 44.8 | GLM 5.3 |
| Epoch Capabilities Index | 133.8 | 156.0 | GLM 5.3 |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index17 boards, none shared
| Benchmark | Gemini 2.5 Flash Lite | GLM 5.3 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 53.1 | Only GLM 5.3 measured |
| Design Arena: agents building mobile apps | Not measured | 1194 | Only GLM 5.3 measured |
| Design Arena: HTML slides | Not measured | 1189 | Only GLM 5.3 measured |
| Design Arena: PowerPoint slides | Not measured | 1254 | Only GLM 5.3 measured |
| LiveBench research | Not measured | 73.2% | Only GLM 5.3 measured |
| LiveBench browser | Not measured | 0.0% | Only GLM 5.3 measured |
| LiveBench long agentic | Not measured | 35.9% | Only GLM 5.3 measured |
| SREBench (Vals AI) | Not measured | 9.2% | Only GLM 5.3 measured |
| Finance Agent (Vals AI) | Not measured | 55.8% | Only GLM 5.3 measured |
| Tax Agent Bench (Vals AI) | Not measured | 39.7% | Only GLM 5.3 measured |
| Legal Research Bench (Vals AI) | Not measured | 49.0% | Only GLM 5.3 measured |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 14.6% | Only GLM 5.3 measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 56.3% | Only GLM 5.3 measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 5.7% | Only GLM 5.3 measured |
| τ²-Bench Telecom | 19.0% | Not measured | Only Gemini 2.5 Flash Lite measured |
| APEX-Agents | Not measured | 56.6% | Only GLM 5.3 measured |
| Vending-Bench 2 | Not measured | $8,164 | Only GLM 5.3 measured |
| Neither model has a result on the other 22 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | Gemini 2.5 Flash Lite | GLM 5.3 | Leader |
|---|---|---|---|
| GPQA Diamond | 70.2% | 88.1% | GLM 5.3 |
| LiveBench reasoning | Not measured | 85.8% | Only GLM 5.3 measured |
| MysteryMechanism (Vals AI) | Not measured | 23.0% | Only GLM 5.3 measured |
| MMMU Pro (Vals AI) | 75.4% | Not measured | Only Gemini 2.5 Flash Lite measured |
| GPQA Diamond (Artificial Analysis run) | 62.5% | 91.7% | GLM 5.3 |
| Humanity's Last Exam (Artificial Analysis run) | 6.8% | 42.3% | GLM 5.3 |
| GPQA Diamond (Epoch AI run) | Not measured | 90.9% | Only GLM 5.3 measured |
| Chess puzzles | Not measured | 37.0% | Only GLM 5.3 measured |
| Mystery game puzzles | Not measured | 33.0% | Only GLM 5.3 measured |
| LMArena Text: hard prompts | Not measured | 1490 | Only GLM 5.3 measured |
| LMArena Text: expert | Not measured | 1514 | Only GLM 5.3 measured |
| LMArena Text: hard prompts in English | Not measured | 1496 | Only GLM 5.3 measured |
| Neither model has a result on the other 9 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
| Benchmark | Gemini 2.5 Flash Lite | GLM 5.3 | Leader |
|---|---|---|---|
| AIME | 42.1% | Not measured | Only Gemini 2.5 Flash Lite measured |
| MGSM (Vals AI) | 89.5% | Not measured | Only Gemini 2.5 Flash Lite measured |
| AA Math Index | 53.3 | Not measured | Only Gemini 2.5 Flash Lite measured |
| AIME 2025 (Artificial Analysis run) | 53.3% | Not measured | Only Gemini 2.5 Flash Lite measured |
| OTIS Mock AIME | Not measured | 91.1% | Only GLM 5.3 measured |
| FrontierMath, tiers 1 to 3 | Not measured | 68.8% | Only GLM 5.3 measured |
| FrontierMath, tier 4 | Not measured | 29.3% | Only GLM 5.3 measured |
| ProofBench | Not measured | 49.0% | Only GLM 5.3 measured |
| LMArena Text: math | Not measured | 1495 | Only GLM 5.3 measured |
| LMArena Text: mathematical work | Not measured | 1497 | Only GLM 5.3 measured |
| Neither model has a result on the other 3 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Gemini 2.5 Flash Lite | GLM 5.3 | Leader |
|---|---|---|---|
| MMLU Pro | 79.1% | 86.8% | GLM 5.3 |
| LegalBench (Vals AI) | 82.0% | 84.8% | GLM 5.3 |
| CorpFin (Vals AI) | 57.6% | Not measured | Only Gemini 2.5 Flash Lite measured |
| TaxEval (Vals AI) | 66.2% | 72.4% | GLM 5.3 |
| MortgageTax (Vals AI) | 57.6% | Not measured | Only Gemini 2.5 Flash Lite measured |
| MedQA (Vals AI) | 88.9% | Not measured | Only Gemini 2.5 Flash Lite measured |
| MedCode (Vals AI) | 34.2% | 42.9% | GLM 5.3 |
| MMLU Pro (Artificial Analysis run) | 75.9% | Not measured | Only Gemini 2.5 Flash Lite measured |
| SimpleQA Verified | Not measured | 41.0% | Only GLM 5.3 measured |
| LMArena Text: science | Not measured | 1498 | Only GLM 5.3 measured |
| LMArena Text: medicine and healthcare | Not measured | 1481 | Only GLM 5.3 measured |
| LMArena Text: legal and government | Not measured | 1473 | Only GLM 5.3 measured |
| LMArena Text: business and finance | Not measured | 1459 | Only GLM 5.3 measured |
| Neither model has a result on the other 4 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | Gemini 2.5 Flash Lite | GLM 5.3 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1295 | Only GLM 5.3 measured |
| Design Arena: UI components | Not measured | 1314 | Only GLM 5.3 measured |
| Design Arena: game dev | Not measured | 1311 | Only GLM 5.3 measured |
| Design Arena: data viz | Not measured | 1259 | Only GLM 5.3 measured |
| Design Arena: 3D | Not measured | 1332 | Only GLM 5.3 measured |
| Design Arena: all code categories | Not measured | 1304 | Only GLM 5.3 measured |
| Design Arena: SVG | Not measured | 1293 | Only GLM 5.3 measured |
| Design Arena: ASCII art | Not measured | 1213 | Only GLM 5.3 measured |
| LiveBench design | Not measured | 77.3% | Only GLM 5.3 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Gemini 2.5 Flash Lite | GLM 5.3 | Leader |
|---|---|---|---|
| Vals Index | Not measured | 59.7% | Only GLM 5.3 measured |
| LiveBench data analysis | Not measured | 70.2% | Only GLM 5.3 measured |
| Public Benefits Bench (Vals AI) | Not measured | 68.5% | Only GLM 5.3 measured |
| SAGE (Vals AI) | 30.8% | Not measured | Only Gemini 2.5 Flash Lite measured |
| MedScribe (Vals AI) | 75.8% | 88.8% | GLM 5.3 |
| IFBench | 49.9% | Not measured | Only Gemini 2.5 Flash Lite measured |
| Long context reasoning (AA-LCR) | 55.7% | 79.7% | GLM 5.3 |
| DTBench | 62.8% | 87.7% | GLM 5.3 |
| LMCA | 18.1% | 55.5% | GLM 5.3 |
| LMArena Text | Not measured | 1474 | Only GLM 5.3 measured |
| LMArena Text: instruction following | Not measured | 1479 | Only GLM 5.3 measured |
| LMArena Text: creative writing | Not measured | 1458 | Only GLM 5.3 measured |
| LMArena Text: English | Not measured | 1482 | Only GLM 5.3 measured |
| LMArena Text: non-English | Not measured | 1459 | Only GLM 5.3 measured |
| LMArena Text: Chinese | Not measured | 1532 | Only GLM 5.3 measured |
| LMArena Text: German | Not measured | 1488 | Only GLM 5.3 measured |
| LMArena Text: Japanese | Not measured | 1460 | Only GLM 5.3 measured |
| LMArena Text: Korean | Not measured | 1460 | Only GLM 5.3 measured |
| LMArena Text: French | Not measured | 1503 | Only GLM 5.3 measured |
| LMArena Text: Spanish | Not measured | 1462 | Only GLM 5.3 measured |
| LMArena Text: Russian | Not measured | 1469 | Only GLM 5.3 measured |
| LMArena Text: Polish | Not measured | 1466 | Only GLM 5.3 measured |
| LMArena Text: multi-turn | Not measured | 1472 | Only GLM 5.3 measured |
| LMArena Text: longer queries | Not measured | 1483 | Only GLM 5.3 measured |
| LMArena Text: writing and language | Not measured | 1469 | Only GLM 5.3 measured |
| LMArena Text: entertainment and media | Not measured | 1447 | Only GLM 5.3 measured |
| Neither model has a result on the other 20 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 2.5 Flash Lite | GLM 5.3 | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Gemini 2.5 Flash Lite costs less
Repository review
50K input + 3K output tokens
Gemini 2.5 Flash Lite costs less
Agent loop
200K input + 10K output tokens
Gemini 2.5 Flash Lite costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | Google Gemini 2.5 Flash Lite | Z.ai GLM 5.3 |
|---|---|---|
| Maker | Z.ai | |
| Weights | No public weights listed | Open weights |
| Released | July 22, 2025 | August 18, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.10 | $1.40 |
| Output $/Mtok | $0.40 | $4.40 |
| Coding index | Not benchmarked | 70.6 |
| Independent measurements behind it | 0 | 6 |
| Cost per solved task | Not computable | $0.36 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 2.5 Flash Lite better than GLM 5.3 for coding?
Only GLM 5.3 has a coding score, 70.6 on the Vibe Coding Index; Gemini 2.5 Flash Lite has none, so the two cannot be ranked on coding. Pick Gemini 2.5 Flash Lite for output tokens 11.0x cheaper ($0.40 vs $4.40 per million).
Which is cheaper, Gemini 2.5 Flash Lite or GLM 5.3?
Gemini 2.5 Flash Lite costs $0.10 per million input tokens and $0.40 per million output tokens; GLM 5.3 costs $1.40 and $4.40. Cost per solved task is known for GLM 5.3 only.
Which has the bigger context window, Gemini 2.5 Flash Lite or GLM 5.3?
Neither: both take 1.05M tokens.
How many benchmarks is the Gemini 2.5 Flash Lite vs GLM 5.3 comparison based on?
14 benchmarks have a result for both models as of October 21, 2026. Gemini 2.5 Flash Lite's coding index rests on 0 independent benchmarks and GLM 5.3's on 6. Where only one model has a result, the page says so instead of naming a winner.