Gemini 3 Flash Preview vs GLM 4.7
GLM 4.7 leads Gemini 3 Flash Preview on coding, 55.1 to 43.7 on the Vibe Coding Index, and GLM 4.7 costs 1.4x less per output token ($2.20 vs $3.00 per million). Updated October 21, 2026; 41 benchmarks have a result for both.
Gemini 3 Flash Preview or GLM 4.7: which to pick
Pick GLM 4.7 for coding: it scores 55.1 on the Vibe Coding Index against 43.7 for Gemini 3 Flash Preview.
Pick Gemini 3 Flash Preview for a larger context window (1.05M against 205K tokens) and work measured by LiveCodeBench (Vals AI) or SWE-bench Verified (Vals AI), where it leads.
- Shared results
- 41
- Gemini 3 Flash Preview only
- 30
- GLM 4.7 only
- 40
- Like-for-like categories
- 8 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
GLM 4.7
GLM 4.7 scores 55.1 against 43.7.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
Gemini 3 Flash Preview
Gemini 3 Flash Preview leads, 26.3 against 22.2.
Same board, both measured
Reasoning
GPQA Diamond
Gemini 3 Flash Preview
Gemini 3 Flash Preview leads, 87.9% against 80.0%.
Same board, both measured
Math
AIME
Gemini 3 Flash Preview
Gemini 3 Flash Preview leads, 95.6% against 93.3%.
Same board, both measured
Knowledge
MMLU Pro
Gemini 3 Flash Preview
Gemini 3 Flash Preview leads, 88.6% against 82.7%.
Same board, both measured
Web design
Design Arena: websites
GLM 4.7
GLM 4.7 leads, 1226 against 1196.
Same board, both measured
Long documents
Listed context window
Gemini 3 Flash Preview
Gemini 3 Flash Preview takes 1.05M tokens against 205K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GLM 4.7
Gemini 3 Flash Preview $0.0020, GLM 4.7 $0.0017 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
GLM 4.7
Gemini 3 Flash Preview $0.37, GLM 4.7 $0.29.
Published attempt cost and pass rate
At a glance
- Coding index
- Gemini 3 Flash Preview 43.7 from 2 benchmarks, GLM 4.7 55.1 from 2 benchmarks.
- Widest category
- Coding, 13.4 points apart on average over 6 shared benchmarks.
- Widest single gap
- SimpleQA Verified: Gemini 3 Flash Preview 66.8% against GLM 4.7 32.2%, 34.6 points apart on a 0 to 100 scale.
- Output price
- Gemini 3 Flash Preview $3.00 against GLM 4.7 $2.20 per million output tokens, 1.4x apart.
- Context window
- Gemini 3 Flash Preview 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 Flash Preview | Bars | GLM 4.7 | Ties |
|---|---|---|---|---|
| Coding | 6 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 3 | 3 | ||
| Reasoning | 6 | 0 | ||
| Math | 6 | 0 | ||
| Knowledge | 9 | 0 | ||
| Web design | 0 | 4 | ||
| General | 3 | 0 | ||
| All shared boards | 34 | 7 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
| Benchmark | Gemini 3 Flash Preview | GLM 4.7 | Leader |
|---|---|---|---|
| SWE-bench Verified | 75.8% | Not measured | Only Gemini 3 Flash Preview measured |
| LMArena WebDev | Not measured | 1435 | Only GLM 4.7 measured |
| AA Coding Index | Not measured | 45.3 | Only GLM 4.7 measured |
| LiveCodeBench (Vals AI) | 85.6% | 82.2% | Gemini 3 Flash Preview |
| SWE-bench Verified (Vals AI) | 75.0% | 69.4% | Gemini 3 Flash Preview |
| Vibe Code Bench (Vals AI) | 20.2% | Not measured | Only Gemini 3 Flash Preview measured |
| Code migration (Vals AI) | 6.4% | Not measured | Only Gemini 3 Flash Preview measured |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Gemini 3 Flash Preview measured |
| Terminal-Bench 2.1 (Vals AI) | 53.9% | Not measured | Only Gemini 3 Flash Preview measured |
| LiveCodeBench (Artificial Analysis run) | 90.8% | 89.4% | Gemini 3 Flash Preview |
| Terminal-Bench Hard (Artificial Analysis run) | 38.6% | 31.8% | Gemini 3 Flash Preview |
| Terminal-Bench | 64.3% | 33.4% | Gemini 3 Flash Preview |
| GSO-Bench | 9.8% | Not measured | Only Gemini 3 Flash Preview measured |
| WeirdML | 61.6% | Not measured | Only Gemini 3 Flash Preview measured |
| ALE-Bench | 1367.2 | 399.5 | Gemini 3 Flash Preview |
| LMArena Text: coding | Not measured | 1454 | Only GLM 4.7 measured |
| LMArena Text: software and IT | Not measured | 1453 | Only GLM 4.7 measured |
| LMArena WebDev: React | Not measured | 1420 | Only GLM 4.7 measured |
| LMArena WebDev: HTML | Not measured | 1447 | Only GLM 4.7 measured |
| SciCode | 12.7% | Not measured | Only Gemini 3 Flash Preview measured |
| Neither model has a result on the other 19 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Gemini 3 Flash Preview | GLM 4.7 | Leader |
|---|---|---|---|
| AA Intelligence Index | 26.3 | 22.2 | Gemini 3 Flash Preview |
| Epoch Capabilities Index | Not measured | 143.6 | Only GLM 4.7 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index33
| Benchmark | Gemini 3 Flash Preview | GLM 4.7 | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | 1110 | Not measured | Only Gemini 3 Flash Preview measured |
| Design Arena: agents building full-stack apps | 1063 | 1050 | Gemini 3 Flash Preview |
| Design Arena: agents building mobile apps | 1090 | 1105 | GLM 4.7 |
| Design Arena: agents building Android apps | 1050 | 1112 | GLM 4.7 |
| Design Arena: agents building Godot games | 1161 | 1058 | Gemini 3 Flash Preview |
| Design Arena: PowerPoint slides | 1036 | Not measured | Only Gemini 3 Flash Preview measured |
| Finance Agent (Vals AI) | 42.5% | Not measured | Only Gemini 3 Flash Preview measured |
| Tax Agent Bench (Vals AI) | 11.8% | Not measured | Only Gemini 3 Flash Preview measured |
| Legal Research Bench (Vals AI) | 18.3% | Not measured | Only Gemini 3 Flash Preview measured |
| Excel Modeling Benchmark (Vals AI) | 26.0% | Not measured | Only Gemini 3 Flash Preview measured |
| τ²-Bench Telecom | 80.4% | 95.9% | GLM 4.7 |
| BALROG | 48.1% | Not measured | Only Gemini 3 Flash Preview measured |
| DeepResearch Bench | 49.8% | Not measured | Only Gemini 3 Flash Preview measured |
| Vending-Bench 2 | $3,635 | $2,377 | Gemini 3 Flash Preview |
| BrowseComp-Plus | Not measured | 64.7% | Only GLM 4.7 measured |
| Neither model has a result on the other 26 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Gemini 3 Flash Preview | GLM 4.7 | Leader |
|---|---|---|---|
| GPQA Diamond | 87.9% | 80.0% | Gemini 3 Flash Preview |
| MMMU Pro (Vals AI) | 87.6% | Not measured | Only Gemini 3 Flash Preview measured |
| GPQA Diamond (Artificial Analysis run) | 89.8% | 85.9% | Gemini 3 Flash Preview |
| Humanity's Last Exam (Artificial Analysis run) | 36.6% | 27.4% | Gemini 3 Flash Preview |
| GPQA Diamond (Epoch AI run) | 89.4% | 83.3% | Gemini 3 Flash Preview |
| ARC-AGI | 84.7% | Not measured | Only Gemini 3 Flash Preview measured |
| ARC-AGI-2 | 33.6% | Not measured | Only Gemini 3 Flash Preview measured |
| SimpleBench | 61.1% | 47.7% | Gemini 3 Flash Preview |
| Chess puzzles | 39.0% | 21.0% | Gemini 3 Flash Preview |
| Mystery game puzzles | 26.0% | Not measured | Only Gemini 3 Flash Preview measured |
| VPCT | 72.6% | Not measured | Only Gemini 3 Flash Preview measured |
| LMArena Text: hard prompts | Not measured | 1443 | Only GLM 4.7 measured |
| LMArena Text: expert | Not measured | 1424 | Only GLM 4.7 measured |
| LMArena Text: hard prompts in English | Not measured | 1452 | Only GLM 4.7 measured |
| Neither model has a result on the other 8 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Gemini 3 Flash Preview | GLM 4.7 | Leader |
|---|---|---|---|
| AIME | 95.6% | 93.3% | Gemini 3 Flash Preview |
| MGSM (Vals AI) | 93.3% | 88.2% | Gemini 3 Flash Preview |
| AA Math Index | 97.0 | 95.0 | Gemini 3 Flash Preview |
| AIME 2025 (Artificial Analysis run) | 97.0% | 95.0% | Gemini 3 Flash Preview |
| OTIS Mock AIME | 95.6% | 83.3% | Gemini 3 Flash Preview |
| FrontierMath, tiers 1 to 3 | 51.2% | Not measured | Only Gemini 3 Flash Preview measured |
| FrontierMath, tier 4 | 17.1% | Not measured | Only Gemini 3 Flash Preview measured |
| ProofBench | 15.0% | 6.0% | Gemini 3 Flash Preview |
| LMArena Text: math | Not measured | 1424 | Only GLM 4.7 measured |
| LMArena Text: mathematical work | Not measured | 1411 | Only GLM 4.7 measured |
| Neither model has a result on the other 3 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index90
| Benchmark | Gemini 3 Flash Preview | GLM 4.7 | Leader |
|---|---|---|---|
| MMLU Pro | 88.6% | 82.7% | Gemini 3 Flash Preview |
| LegalBench (Vals AI) | 86.9% | 83.4% | Gemini 3 Flash Preview |
| CaseLaw (Vals AI) | 55.8% | 54.9% | Gemini 3 Flash Preview |
| CorpFin (Vals AI) | 66.4% | 46.4% | Gemini 3 Flash Preview |
| TaxEval (Vals AI) | 73.9% | 68.8% | Gemini 3 Flash Preview |
| MortgageTax (Vals AI) | 68.7% | Not measured | Only Gemini 3 Flash Preview measured |
| MedQA (Vals AI) | 95.8% | 93.7% | Gemini 3 Flash Preview |
| MedCode (Vals AI) | 55.9% | 32.8% | Gemini 3 Flash Preview |
| MMLU Pro (Artificial Analysis run) | 89.0% | 85.6% | Gemini 3 Flash Preview |
| SimpleQA Verified | 66.8% | 32.2% | Gemini 3 Flash Preview |
| GeoBench | 88.0% | Not measured | Only Gemini 3 Flash Preview measured |
| LMArena Text: science | Not measured | 1457 | Only GLM 4.7 measured |
| LMArena Text: medicine and healthcare | Not measured | 1469 | Only GLM 4.7 measured |
| LMArena Text: legal and government | Not measured | 1444 | Only GLM 4.7 measured |
| LMArena Text: business and finance | Not measured | 1429 | Only GLM 4.7 measured |
| FACTS Benchmark Suite | 63.4% | Not measured | Only Gemini 3 Flash Preview measured |
| Neither model has a result on the other 2 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Gemini 3 Flash Preview | GLM 4.7 | Leader |
|---|---|---|---|
| Design Arena: websites | 1196 | 1226 | GLM 4.7 |
| Design Arena: UI components | Not measured | 1199 | Only GLM 4.7 measured |
| Design Arena: game dev | 1166 | 1189 | GLM 4.7 |
| Design Arena: data viz | Not measured | 1195 | Only GLM 4.7 measured |
| Design Arena: 3D | 1184 | 1191 | GLM 4.7 |
| Design Arena: all code categories | 1189 | 1217 | GLM 4.7 |
| Design Arena: SVG | Not measured | 1143 | 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 index30
| Benchmark | Gemini 3 Flash Preview | GLM 4.7 | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 51.8% | Not measured | Only Gemini 3 Flash Preview measured |
| MedScribe (Vals AI) | 69.9% | 68.6% | Gemini 3 Flash Preview |
| Vals Multimodal Index | 52.2% | Not measured | Only Gemini 3 Flash Preview measured |
| IFBench | 78.0% | 67.9% | Gemini 3 Flash Preview |
| Long context reasoning (AA-LCR) | 78.0% | 71.0% | Gemini 3 Flash Preview |
| DTBench | 89.1% | Not measured | Only Gemini 3 Flash Preview measured |
| LMCA | 43.1% | Not measured | Only Gemini 3 Flash Preview 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 | Not measured | 1435 | Only GLM 4.7 measured |
| LMArena Text: instruction following | Not measured | 1412 | Only GLM 4.7 measured |
| LMArena Text: creative writing | Not measured | 1401 | Only GLM 4.7 measured |
| LMArena Text: English | Not measured | 1453 | Only GLM 4.7 measured |
| LMArena Text: non-English | Not measured | 1417 | Only GLM 4.7 measured |
| LMArena Text: Chinese | Not measured | 1495 | Only GLM 4.7 measured |
| LMArena Text: German | Not measured | 1426 | Only GLM 4.7 measured |
| LMArena Text: Japanese | Not measured | 1439 | Only GLM 4.7 measured |
| LMArena Text: Korean | Not measured | 1399 | Only GLM 4.7 measured |
| LMArena Text: French | Not measured | 1432 | Only GLM 4.7 measured |
| LMArena Text: Spanish | Not measured | 1434 | Only GLM 4.7 measured |
| LMArena Text: Russian | Not measured | 1423 | Only GLM 4.7 measured |
| LMArena Text: Polish | Not measured | 1435 | Only GLM 4.7 measured |
| LMArena Text: multi-turn | Not measured | 1446 | Only GLM 4.7 measured |
| LMArena Text: longer queries | Not measured | 1432 | Only GLM 4.7 measured |
| LMArena Text: writing and language | Not measured | 1411 | Only GLM 4.7 measured |
| LMArena Text: entertainment and media | Not measured | 1400 | Only GLM 4.7 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 3 Flash Preview | 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 Flash Preview costs less
Agent loop
200K input + 10K output tokens
Gemini 3 Flash Preview 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 Flash Preview | Z.ai GLM 4.7 |
|---|---|---|
| Maker | Z.ai | |
| Weights | No public weights listed | Open weights |
| Released | December 17, 2025 | December 22, 2025 |
| Context window | 1.05M | 205K |
| Input $/Mtok | $0.50 | $0.60 |
| Output $/Mtok | $3.00 | $2.20 |
| Coding index | 43.7 | 55.1 |
| Independent measurements behind it | 2 | 2 |
| Cost per solved task | $0.37 | $0.29 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 3 Flash Preview better than GLM 4.7 for coding?
Pick GLM 4.7 for coding: it scores 55.1 on the Vibe Coding Index against 43.7 for Gemini 3 Flash Preview. Pick Gemini 3 Flash Preview for a larger context window (1.05M against 205K tokens) and work measured by LiveCodeBench (Vals AI) or SWE-bench Verified (Vals AI), where it leads.
Which is cheaper, Gemini 3 Flash Preview or GLM 4.7?
Gemini 3 Flash Preview costs $0.50 per million input tokens and $3.00 per million output tokens; GLM 4.7 costs $0.60 and $2.20. Per solved SWE-bench Verified task, Gemini 3 Flash Preview costs $0.37 and GLM 4.7 $0.29.
Which has the bigger context window, Gemini 3 Flash Preview or GLM 4.7?
Gemini 3 Flash Preview, with 1.05M tokens against 205K.
How many benchmarks is the Gemini 3 Flash Preview vs GLM 4.7 comparison based on?
41 benchmarks have a result for both models as of October 21, 2026. Gemini 3 Flash Preview's coding index rests on 2 independent benchmarks and GLM 4.7's on 2. Where only one model has a result, the page says so instead of naming a winner.