Gemini 2.5 Pro vs GLM 4.6V
Updated October 21, 2026. 38 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Only Gemini 2.5 Pro has a coding score, 19.1 on the Vibe Coding Index; GLM 4.6V has none, so the two cannot be ranked on coding.
GLM 4.6V has the edge where output tokens cost 11.1x less.
- Shared results
- 38
- Gemini 2.5 Pro only
- 49
- GLM 4.6V only
- 0
- Like-for-like categories
- 7 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, six public coding benchmarks
No call
Only Gemini 2.5 Pro has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Gemini 2.5 Pro
Gemini 2.5 Pro leads, 16.1 against 11.2.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Gemini 2.5 Pro has a AA Agentic Index result, 1.6.
Directional only
Web design
Design Arena: websites
No call
Only Gemini 2.5 Pro has a Design Arena: websites result, 1167.
Directional only
Long documents
Listed context window
Gemini 2.5 Pro
Gemini 2.5 Pro takes 1.05M tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GLM 4.6V
Gemini 2.5 Pro $0.0063, GLM 4.6V $0.0008 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Gemini 2.5 Pro has the number, $0.64.
Directional only
At a glance
- Coding index
- Gemini 2.5 Pro 19.1 from 3 benchmarks, GLM 4.6V not benchmarked.
- Widest category
- Agentic work, 22.5 points apart on average over 1 shared benchmark.
- Widest single gap
- LiveCodeBench (Artificial Analysis run): Gemini 2.5 Pro 80.1% against GLM 4.6V 41.1%, 39.0 points apart on a 0 to 100 scale.
- Output price
- Gemini 2.5 Pro $10.00 against GLM 4.6V $0.90 per million output tokens, 11.1x apart.
- Context window
- Gemini 2.5 Pro takes 1.05M tokens, GLM 4.6V 131K.
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 Pro | Bars | GLM 4.6V | Ties |
|---|---|---|---|---|
| Coding | 4 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 7 | 0 | ||
| Math | 2 | 0 | ||
| Knowledge | 5 | 0 | ||
| General | 18 | 0 | ||
| All shared boards | 38 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
| Benchmark | Gemini 2.5 Pro | GLM 4.6V | Leader |
|---|---|---|---|
| SWE-bench Verified | 53.6% | Not measured | Only Gemini 2.5 Pro measured |
| LMArena WebDev | 1226 | Not measured | Only Gemini 2.5 Pro measured |
| AA Coding Index | 33.3 | Not measured | Only Gemini 2.5 Pro measured |
| SWE-bench Verified (Vals AI) | 54.4% | Not measured | Only Gemini 2.5 Pro measured |
| Vibe Code Bench (Vals AI) | 0.4% | Not measured | Only Gemini 2.5 Pro measured |
| LiveCodeBench (Artificial Analysis run) | 80.1% | 41.1% | Gemini 2.5 Pro |
| SciCode | 46.3% | Not measured | Only Gemini 2.5 Pro measured |
| Terminal-Bench Hard (Artificial Analysis run) | 26.5% | 14.4% | Gemini 2.5 Pro |
| Terminal-Bench | 32.6% | Not measured | Only Gemini 2.5 Pro measured |
| GSO-Bench | 3.9% | Not measured | Only Gemini 2.5 Pro measured |
| WeirdML | 54.0% | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Text: coding | 1452 | 1389 | Gemini 2.5 Pro |
| LMArena Text: software and IT | 1459 | 1391 | Gemini 2.5 Pro |
| LMArena WebDev: HTML | 1235 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena WebDev: from an image | 1285 | Not measured | Only Gemini 2.5 Pro measured |
| Neither model has a result on the other 23 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Gemini 2.5 Pro | GLM 4.6V | Leader |
|---|---|---|---|
| AA Intelligence Index | 16.1 | 11.2 | Gemini 2.5 Pro |
| Epoch Capabilities Index | 145.1 | Not measured | Only Gemini 2.5 Pro measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Gemini 2.5 Pro | GLM 4.6V | Leader |
|---|---|---|---|
| AA Agentic Index | 1.6 | Not measured | Only Gemini 2.5 Pro measured |
| τ²-Bench Telecom | 54.1% | 31.6% | Gemini 2.5 Pro |
| GDPval | 23.3% | Not measured | Only Gemini 2.5 Pro measured |
| DeepResearch Bench | 41.5% | Not measured | Only Gemini 2.5 Pro measured |
| Vending-Bench 2 | $574 | Not measured | Only Gemini 2.5 Pro measured |
| Neither model has a result on the other 34 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index70
| Benchmark | Gemini 2.5 Pro | GLM 4.6V | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 84.4% | 71.9% | Gemini 2.5 Pro |
| Humanity's Last Exam (Artificial Analysis run) | 22.5% | 9.6% | Gemini 2.5 Pro |
| GPQA Diamond (Epoch AI run) | 85.3% | Not measured | Only Gemini 2.5 Pro measured |
| ARC-AGI | 41.0% | Not measured | Only Gemini 2.5 Pro measured |
| ARC-AGI-2 | 4.9% | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Text: hard prompts | 1455 | 1367 | Gemini 2.5 Pro |
| LMArena Text: expert | 1452 | 1371 | Gemini 2.5 Pro |
| LMArena Text: hard prompts in English | 1453 | 1391 | Gemini 2.5 Pro |
| LMArena Vision: diagrams | 1274 | 1182 | Gemini 2.5 Pro |
| LMArena Vision: homework | 1281 | 1155 | Gemini 2.5 Pro |
| Neither model has a result on the other 11 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemini 2.5 Pro | GLM 4.6V | Leader |
|---|---|---|---|
| AA Math Index | 87.7 | 85.3 | Gemini 2.5 Pro |
| AIME 2025 (Artificial Analysis run) | 87.7% | 85.3% | Gemini 2.5 Pro |
| OTIS Mock AIME | 84.7% | Not measured | Only Gemini 2.5 Pro measured |
| FrontierMath, tiers 1 to 3 | 24.6% | Not measured | Only Gemini 2.5 Pro measured |
| FrontierMath, tier 4 | 0.0% | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Text: math | 1450 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Text: mathematical work | 1454 | Not measured | Only Gemini 2.5 Pro measured |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Gemini 2.5 Pro | GLM 4.6V | Leader |
|---|---|---|---|
| CaseLaw (Vals AI) | 63.9% | Not measured | Only Gemini 2.5 Pro measured |
| CorpFin (Vals AI) | 60.8% | Not measured | Only Gemini 2.5 Pro measured |
| MortgageTax (Vals AI) | 68.9% | Not measured | Only Gemini 2.5 Pro measured |
| MedCode (Vals AI) | 50.6% | Not measured | Only Gemini 2.5 Pro measured |
| MMLU Pro (Artificial Analysis run) | 86.2% | 79.9% | Gemini 2.5 Pro |
| LMArena Text: science | 1480 | 1389 | Gemini 2.5 Pro |
| LMArena Text: medicine and healthcare | 1476 | 1389 | Gemini 2.5 Pro |
| LMArena Text: legal and government | 1480 | 1393 | Gemini 2.5 Pro |
| LMArena Text: business and finance | 1439 | 1359 | Gemini 2.5 Pro |
| Neither model has a result on the other 8 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Gemini 2.5 Pro | GLM 4.6V | Leader |
|---|---|---|---|
| Design Arena: websites | 1167 | Not measured | Only Gemini 2.5 Pro measured |
| Design Arena: UI components | 1140 | Not measured | Only Gemini 2.5 Pro measured |
| Design Arena: game dev | 1111 | Not measured | Only Gemini 2.5 Pro measured |
| Design Arena: data viz | 1221 | Not measured | Only Gemini 2.5 Pro measured |
| Design Arena: 3D | 1080 | Not measured | Only Gemini 2.5 Pro measured |
| Design Arena: all code categories | 1152 | Not measured | Only Gemini 2.5 Pro measured |
| Neither model has a result on the other 3 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index180
| Benchmark | Gemini 2.5 Pro | GLM 4.6V | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 41.9% | Not measured | Only Gemini 2.5 Pro measured |
| MedScribe (Vals AI) | 73.5% | Not measured | Only Gemini 2.5 Pro measured |
| IFBench | 48.7% | 30.1% | Gemini 2.5 Pro |
| Long context reasoning (AA-LCR) | 69.0% | 48.7% | Gemini 2.5 Pro |
| DTBench | 82.4% | Not measured | Only Gemini 2.5 Pro measured |
| LMCA | 34.8% | Not measured | Only Gemini 2.5 Pro measured |
| Creative writing (Lech Mazur) | 83.8% | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Text | 1458 | 1376 | Gemini 2.5 Pro |
| LMArena Text: instruction following | 1437 | 1350 | Gemini 2.5 Pro |
| LMArena Text: creative writing | 1454 | 1347 | Gemini 2.5 Pro |
| LMArena Vision | 1263 | 1164 | Gemini 2.5 Pro |
| LMArena Text: English | 1458 | 1395 | Gemini 2.5 Pro |
| LMArena Text: non-English | 1452 | 1358 | Gemini 2.5 Pro |
| LMArena Text: Chinese | 1507 | 1425 | Gemini 2.5 Pro |
| LMArena Text: German | 1487 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Text: Japanese | 1461 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Text: Korean | 1434 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Text: French | 1473 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Text: Spanish | 1474 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Text: Russian | 1461 | 1339 | Gemini 2.5 Pro |
| LMArena Text: Polish | 1479 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Text: multi-turn | 1453 | 1359 | Gemini 2.5 Pro |
| LMArena Text: longer queries | 1449 | 1357 | Gemini 2.5 Pro |
| LMArena Text: writing and language | 1454 | 1347 | Gemini 2.5 Pro |
| LMArena Text: entertainment and media | 1441 | 1343 | Gemini 2.5 Pro |
| LMArena Vision: English | 1261 | 1179 | Gemini 2.5 Pro |
| LMArena Vision: Chinese | 1300 | 1217 | Gemini 2.5 Pro |
| LMArena Vision: reading text | 1270 | 1171 | Gemini 2.5 Pro |
| LMArena Vision: humor | 1262 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Vision: captioning | 1304 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Vision: recognizing things | 1283 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Vision: creative writing | 1265 | 1113 | Gemini 2.5 Pro |
| LMArena Document | 1421 | Not measured | Only Gemini 2.5 Pro measured |
| Neither model has a result on the other 13 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 2.5 Pro | GLM 4.6V | 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 4.6V costs less
Repository review
50K input + 3K output tokens
GLM 4.6V costs less
Agent loop
200K input + 10K output tokens
GLM 4.6V 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 Pro | Z.ai GLM 4.6V |
|---|---|---|
| Maker | Z.ai | |
| Weights | No public weights listed | Open weights |
| Released | June 17, 2025 | December 8, 2025 |
| Context window | 1.05M | 131K |
| Input $/Mtok | $1.25 | $0.30 |
| Output $/Mtok | $10.00 | $0.90 |
| Coding index | 19.1 | Not benchmarked |
| Independent measurements behind it | 3 | 0 |
| Cost per solved task | $0.64 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 2.5 Pro better than GLM 4.6V for coding?
Only Gemini 2.5 Pro has a coding score, 19.1 on the Vibe Coding Index; GLM 4.6V has none, so the two cannot be ranked on coding. GLM 4.6V has the edge where output tokens cost 11.1x less.
Which is cheaper, Gemini 2.5 Pro or GLM 4.6V?
Gemini 2.5 Pro costs $1.25 per million input tokens and $10.00 per million output tokens; GLM 4.6V costs $0.30 and $0.90. Cost per solved task is known for Gemini 2.5 Pro only.
Which has the bigger context window, Gemini 2.5 Pro or GLM 4.6V?
Gemini 2.5 Pro, with 1.05M tokens against 131K.
How many benchmarks is the Gemini 2.5 Pro vs GLM 4.6V comparison based on?
38 benchmarks have a result for both models as of October 21, 2026. Gemini 2.5 Pro's coding index rests on 3 independent benchmarks and GLM 4.6V's on 0. Where only one model has a result, the page says so instead of naming a winner.