Gemini 3.5 Flash Lite vs GLM 4.7
Updated October 21, 2026. 50 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Gemini 3.5 Flash Lite and GLM 4.7 are level for coding, 33.6 against 33.6 on the Vibe Coding Index, so price and context decide.
Pick GLM 4.7 when output tokens cost 1.3x less, or when a solved task costs $0.29 against $0.41. Pick Gemini 3.5 Flash Lite when the context window is larger, 1.05M against 205K tokens, or when what matters is AA Coding Index or SWE-bench Verified (Vals AI), where it leads.
- Shared results
- 50
- Gemini 3.5 Flash Lite only
- 33
- GLM 4.7 only
- 30
- Like-for-like categories
- 6 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
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, four public coding benchmarks
No call
Level: 33.6 against 33.6, inside 2 points.
One benchmark behind each score
Intelligence
AA Intelligence Index
No call
Tied at 22.2.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Gemini 3.5 Flash Lite has a AA Agentic Index result, 14.3.
Directional only
Reasoning
GPQA Diamond
Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite leads, 83.8% against 80.0%.
Same board, both measured
Math
AIME
No call
Only GLM 4.7 has a AIME result, 93.3%.
Directional only
Knowledge
MMLU Pro
Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite leads, 85.8% against 82.7%.
Same board, both measured
Web design
Design Arena: websites
No call
Only GLM 4.7 has a Design Arena: websites result, 1226.
Directional only
Long documents
Listed context window
Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite takes 1.05M tokens against 205K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GLM 4.7
Gemini 3.5 Flash Lite $0.0015, GLM 4.7 $0.0015 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
GLM 4.7
Gemini 3.5 Flash Lite $0.41, GLM 4.7 $0.29.
Published attempt cost and pass rate
At a glance
- Coding index
- Gemini 3.5 Flash Lite 33.6 from 1 benchmark, GLM 4.7 33.6 from 1 benchmark.
- Widest category
- Math, 6.1 points apart on average over 4 shared benchmarks.
- Widest single gap
- CorpFin (Vals AI): Gemini 3.5 Flash Lite 60.7% against GLM 4.7 46.4%, 14.3 points apart on a 0 to 100 scale.
- Output price
- Gemini 3.5 Flash Lite $2.50 against GLM 4.7 $1.98 per million output tokens, 1.3x apart.
- Context window
- Gemini 3.5 Flash Lite takes 1.05M tokens, GLM 4.7 205K.
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 3.5 Flash Lite | Bars | GLM 4.7 | Ties |
|---|---|---|---|---|
| Coding | 3 | 5 | ||
| Intelligence | 1 | 0 | 1 tie | |
| Reasoning | 2 | 4 | 2 ties | |
| Math | 3 | 1 | ||
| Knowledge | 5 | 4 | ||
| General | 14 | 5 | ||
| All shared boards | 28 | 19 | 3 ties |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index35
| Benchmark | Gemini 3.5 Flash Lite | GLM 4.7 | Leader |
|---|---|---|---|
| LMArena WebDev | 1435 | 1435 | GLM 4.7 |
| AA Coding Index | 49.3 | 45.3 | Gemini 3.5 Flash Lite |
| LiveCodeBench (Vals AI) | 79.0% | 82.2% | GLM 4.7 |
| SWE-bench Verified (Vals AI) | 75.0% | 69.4% | Gemini 3.5 Flash Lite |
| Vibe Code Bench (Vals AI) | 37.2% | Not measured | Only Gemini 3.5 Flash Lite measured |
| Code migration (Vals AI) | 6.2% | Not measured | Only Gemini 3.5 Flash Lite measured |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Gemini 3.5 Flash Lite measured |
| Terminal-Bench 2.1 (Vals AI) | 50.2% | Not measured | Only Gemini 3.5 Flash Lite measured |
| CyberBench (Vals AI) | 59.1% | Not measured | Only Gemini 3.5 Flash Lite measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 89.4% | Only GLM 4.7 measured |
| SciCode | 41.3% | Not measured | Only Gemini 3.5 Flash Lite measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 31.8% | Only GLM 4.7 measured |
| Terminal-Bench | Not measured | 33.4% | Only GLM 4.7 measured |
| WeirdML | 39.0% | Not measured | Only Gemini 3.5 Flash Lite measured |
| ALE-Bench | 765.3 | 399.5 | Gemini 3.5 Flash Lite |
| LMArena Text: coding | 1453 | 1454 | GLM 4.7 |
| LMArena Text: software and IT | 1451 | 1453 | GLM 4.7 |
| LMArena WebDev: React | 1408 | 1420 | GLM 4.7 |
| LMArena WebDev: HTML | Not measured | 1447 | Only GLM 4.7 measured |
| LMArena WebDev: from an image | 1448 | Not measured | Only Gemini 3.5 Flash Lite measured |
| Neither model has a result on the other 18 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Gemini 3.5 Flash Lite | GLM 4.7 | Leader |
|---|---|---|---|
| AA Intelligence Index | 22.2 | 22.2 | Tie |
| Epoch Capabilities Index | 144.9 | 143.6 | Gemini 3.5 Flash Lite |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
| Benchmark | Gemini 3.5 Flash Lite | GLM 4.7 | Leader |
|---|---|---|---|
| AA Agentic Index | 14.3 | Not measured | Only Gemini 3.5 Flash Lite measured |
| Design Arena: agents building full-stack apps | Not measured | 1050 | Only GLM 4.7 measured |
| Design Arena: agents building mobile apps | Not measured | 1105 | Only GLM 4.7 measured |
| Design Arena: agents building Android apps | Not measured | 1118 | Only GLM 4.7 measured |
| Design Arena: agents building Godot games | Not measured | 1058 | Only GLM 4.7 measured |
| Finance Agent (Vals AI) | 47.4% | Not measured | Only Gemini 3.5 Flash Lite measured |
| Tax Agent Bench (Vals AI) | 7.2% | Not measured | Only Gemini 3.5 Flash Lite measured |
| Legal Research Bench (Vals AI) | 13.9% | Not measured | Only Gemini 3.5 Flash Lite measured |
| Excel Modeling Benchmark (Vals AI) | 43.2% | Not measured | Only Gemini 3.5 Flash Lite measured |
| τ²-Bench Telecom | Not measured | 95.9% | Only GLM 4.7 measured |
| APEX-Agents | 29.3% | Not measured | Only Gemini 3.5 Flash Lite measured |
| Vending-Bench 2 | Not measured | $2,377 | Only GLM 4.7 measured |
| Neither model has a result on the other 27 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index24
| Benchmark | Gemini 3.5 Flash Lite | GLM 4.7 | Leader |
|---|---|---|---|
| GPQA Diamond | 83.8% | 80.0% | Gemini 3.5 Flash Lite |
| MMMU Pro (Vals AI) | 83.6% | Not measured | Only Gemini 3.5 Flash Lite measured |
| GPQA Diamond (Artificial Analysis run) | 83.8% | 85.9% | GLM 4.7 |
| Humanity's Last Exam (Artificial Analysis run) | 18.8% | 27.4% | GLM 4.7 |
| GPQA Diamond (Epoch AI run) | 83.3% | 83.3% | Tie |
| ARC-AGI | 53.5% | Not measured | Only Gemini 3.5 Flash Lite measured |
| ARC-AGI-2 | 10.3% | Not measured | Only Gemini 3.5 Flash Lite measured |
| SimpleBench | Not measured | 47.7% | Only GLM 4.7 measured |
| Chess puzzles | 21.0% | 21.0% | Tie |
| Mystery game puzzles | 19.0% | Not measured | Only Gemini 3.5 Flash Lite measured |
| LMArena Text: hard prompts | 1441 | 1443 | GLM 4.7 |
| LMArena Text: expert | 1434 | 1424 | Gemini 3.5 Flash Lite |
| LMArena Text: hard prompts in English | 1440 | 1452 | GLM 4.7 |
| LMArena Vision: diagrams | 1284 | Not measured | Only Gemini 3.5 Flash Lite measured |
| LMArena Vision: homework | 1291 | Not measured | Only Gemini 3.5 Flash Lite measured |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index31
| Benchmark | Gemini 3.5 Flash Lite | GLM 4.7 | Leader |
|---|---|---|---|
| AIME | Not measured | 93.3% | Only GLM 4.7 measured |
| MGSM (Vals AI) | Not measured | 88.2% | Only GLM 4.7 measured |
| AA Math Index | Not measured | 95.0 | Only GLM 4.7 measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 95.0% | Only GLM 4.7 measured |
| OTIS Mock AIME | 71.1% | 83.3% | GLM 4.7 |
| FrontierMath, tiers 1 to 3 | 26.0% | Not measured | Only Gemini 3.5 Flash Lite measured |
| FrontierMath, tier 4 | 0.0% | Not measured | Only Gemini 3.5 Flash Lite measured |
| ProofBench | 13.0% | 6.0% | Gemini 3.5 Flash Lite |
| LMArena Text: math | 1434 | 1424 | Gemini 3.5 Flash Lite |
| LMArena Text: mathematical work | 1433 | 1411 | Gemini 3.5 Flash Lite |
| Neither model has a result on the other 3 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index54
| Benchmark | Gemini 3.5 Flash Lite | GLM 4.7 | Leader |
|---|---|---|---|
| MMLU Pro | 85.8% | 82.7% | Gemini 3.5 Flash Lite |
| LegalBench (Vals AI) | 84.1% | 83.4% | Gemini 3.5 Flash Lite |
| CaseLaw (Vals AI) | Not measured | 54.9% | Only GLM 4.7 measured |
| CorpFin (Vals AI) | 60.7% | 46.4% | Gemini 3.5 Flash Lite |
| TaxEval (Vals AI) | 72.6% | 68.8% | Gemini 3.5 Flash Lite |
| MortgageTax (Vals AI) | 68.7% | Not measured | Only Gemini 3.5 Flash Lite measured |
| MedQA (Vals AI) | Not measured | 93.7% | Only GLM 4.7 measured |
| MedCode (Vals AI) | 43.5% | 32.8% | Gemini 3.5 Flash Lite |
| MMLU Pro (Artificial Analysis run) | Not measured | 85.6% | Only GLM 4.7 measured |
| SimpleQA Verified | Not measured | 32.2% | Only GLM 4.7 measured |
| LMArena Text: science | 1451 | 1457 | GLM 4.7 |
| LMArena Text: medicine and healthcare | 1438 | 1469 | GLM 4.7 |
| LMArena Text: legal and government | 1431 | 1444 | GLM 4.7 |
| LMArena Text: business and finance | 1423 | 1429 | GLM 4.7 |
| Neither model has a result on the other 3 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Gemini 3.5 Flash Lite | GLM 4.7 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1226 | Only GLM 4.7 measured |
| Design Arena: UI components | Not measured | 1199 | Only GLM 4.7 measured |
| Design Arena: game dev | Not measured | 1189 | Only GLM 4.7 measured |
| Design Arena: data viz | Not measured | 1195 | Only GLM 4.7 measured |
| Design Arena: 3D | Not measured | 1191 | Only GLM 4.7 measured |
| Design Arena: all code categories | Not measured | 1217 | Only GLM 4.7 measured |
| Design Arena: SVG | Not measured | 1142 | Only GLM 4.7 measured |
| Design Arena: ASCII art | Not measured | 1165 | Only GLM 4.7 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index145
| Benchmark | Gemini 3.5 Flash Lite | GLM 4.7 | Leader |
|---|---|---|---|
| Public Benefits Bench (Vals AI) | 51.8% | Not measured | Only Gemini 3.5 Flash Lite measured |
| SAGE (Vals AI) | 47.3% | Not measured | Only Gemini 3.5 Flash Lite measured |
| MedScribe (Vals AI) | 70.9% | 68.6% | Gemini 3.5 Flash Lite |
| IFBench | Not measured | 67.9% | Only GLM 4.7 measured |
| Long context reasoning (AA-LCR) | 76.0% | 71.0% | Gemini 3.5 Flash Lite |
| DTBench | 83.5% | Not measured | Only Gemini 3.5 Flash Lite measured |
| LMCA | 37.6% | Not measured | Only Gemini 3.5 Flash Lite measured |
| CL-bench | Not measured | 15.9% | Only GLM 4.7 measured |
| CL-bench Life | Not measured | 10.9% | Only GLM 4.7 measured |
| LMArena Text | 1435 | 1435 | GLM 4.7 |
| LMArena Text: instruction following | 1419 | 1412 | Gemini 3.5 Flash Lite |
| LMArena Text: creative writing | 1421 | 1401 | Gemini 3.5 Flash Lite |
| LMArena Vision | 1269 | Not measured | Only Gemini 3.5 Flash Lite measured |
| LMArena Text: English | 1438 | 1453 | GLM 4.7 |
| LMArena Text: non-English | 1427 | 1417 | Gemini 3.5 Flash Lite |
| LMArena Text: Chinese | 1468 | 1495 | GLM 4.7 |
| LMArena Text: German | 1454 | 1426 | Gemini 3.5 Flash Lite |
| LMArena Text: Japanese | 1426 | 1439 | GLM 4.7 |
| LMArena Text: Korean | 1407 | 1399 | Gemini 3.5 Flash Lite |
| LMArena Text: French | 1451 | 1432 | Gemini 3.5 Flash Lite |
| LMArena Text: Spanish | 1441 | 1434 | Gemini 3.5 Flash Lite |
| LMArena Text: Russian | 1443 | 1423 | Gemini 3.5 Flash Lite |
| LMArena Text: Polish | 1437 | 1435 | Gemini 3.5 Flash Lite |
| LMArena Text: multi-turn | 1445 | 1446 | GLM 4.7 |
| LMArena Text: longer queries | 1435 | 1432 | Gemini 3.5 Flash Lite |
| LMArena Text: writing and language | 1428 | 1411 | Gemini 3.5 Flash Lite |
| LMArena Text: entertainment and media | 1414 | 1400 | Gemini 3.5 Flash Lite |
| LMArena Vision: English | 1269 | Not measured | Only Gemini 3.5 Flash Lite measured |
| LMArena Vision: Chinese | 1311 | Not measured | Only Gemini 3.5 Flash Lite measured |
| LMArena Vision: reading text | 1280 | Not measured | Only Gemini 3.5 Flash Lite measured |
| LMArena Vision: humor | 1287 | Not measured | Only Gemini 3.5 Flash Lite measured |
| LMArena Vision: creative writing | 1260 | Not measured | Only Gemini 3.5 Flash Lite measured |
| Neither model has a result on the other 14 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 3.5 Flash Lite | GLM 4.7 | 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
GLM 4.7 costs less
Repository review
50K input + 3K output tokens
Gemini 3.5 Flash Lite costs less
Agent loop
200K input + 10K output tokens
Gemini 3.5 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 3.5 Flash Lite | Z.ai GLM 4.7 |
|---|---|---|
| Maker | Z.ai | |
| Weights | No public weights listed | Open weights |
| Released | July 21, 2026 | December 22, 2025 |
| Context window | 1.05M | 205K |
| Input $/Mtok | $0.30 | $0.54 |
| Output $/Mtok | $2.50 | $1.98 |
| Coding index | 33.6 | 33.6 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | $0.41 | $0.29 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 3.5 Flash Lite better than GLM 4.7 for coding?
Gemini 3.5 Flash Lite and GLM 4.7 are level for coding, 33.6 against 33.6 on the Vibe Coding Index, so price and context decide. Pick GLM 4.7 when output tokens cost 1.3x less, or when a solved task costs $0.29 against $0.41. Pick Gemini 3.5 Flash Lite when the context window is larger, 1.05M against 205K tokens, or when what matters is AA Coding Index or SWE-bench Verified (Vals AI), where it leads.
Which is cheaper, Gemini 3.5 Flash Lite or GLM 4.7?
Gemini 3.5 Flash Lite costs $0.30 per million input tokens and $2.50 per million output tokens; GLM 4.7 costs $0.54 and $1.98. Per solved SWE-bench Verified task, Gemini 3.5 Flash Lite costs $0.41 and GLM 4.7 $0.29.
Which has the bigger context window, Gemini 3.5 Flash Lite or GLM 4.7?
Gemini 3.5 Flash Lite, with 1.05M tokens against 205K.
How many benchmarks is the Gemini 3.5 Flash Lite vs GLM 4.7 comparison based on?
50 benchmarks have a result for both models as of October 21, 2026. Gemini 3.5 Flash Lite's coding index rests on 1 independent benchmark and GLM 4.7's on 1. Where only one model has a result, the page says so instead of naming a winner.