Gemini 2.5 Pro Preview 06-05 vs GLM 4.7 Flash
Updated October 21, 2026. 3 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Neither model has a coding score yet, so the two cannot be ranked on coding.
Gemini 2.5 Pro Preview 06-05 has the edge where the context window is larger, 1.05M against 200K tokens.
- Shared results
- 3
- Gemini 2.5 Pro Preview 06-05 only
- 11
- GLM 4.7 Flash only
- 40
- Like-for-like categories
- 1 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
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
No call
Only GLM 4.7 Flash has a AA Intelligence Index result, 14.9.
Directional only
Web design
Design Arena: websites
No call
Only GLM 4.7 Flash has a Design Arena: websites result, 1194.
Directional only
Long documents
Listed context window
Gemini 2.5 Pro Preview 06-05
Gemini 2.5 Pro Preview 06-05 takes 1.05M tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GLM 4.7 Flash
Gemini 2.5 Pro Preview 06-05 $0.0063, GLM 4.7 Flash $0.0003 per turn.
List prices
At a glance
- Coding index
- Gemini 2.5 Pro Preview 06-05 not benchmarked, GLM 4.7 Flash not benchmarked.
- Widest category
- Reasoning, 20.7 points apart on average over 3 shared benchmarks.
- Widest single gap
- GPQA Diamond (Artificial Analysis run): Gemini 2.5 Pro Preview 06-05 83.6% against GLM 4.7 Flash 58.1%, 25.5 points apart on a 0 to 100 scale.
- Output price
- Gemini 2.5 Pro Preview 06-05 $10.00 against GLM 4.7 Flash $0.40 per million output tokens, 25.0x apart.
- Context window
- Gemini 2.5 Pro Preview 06-05 takes 1.05M tokens, GLM 4.7 Flash 200K.
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 Preview 06-05 | Bars | GLM 4.7 Flash | Ties |
|---|---|---|---|---|
| Reasoning | 3 | 0 | ||
| All shared boards | 3 | 0 |
CodingDirectional onlySix of these boards feed the Vibe Coding Index7 boards, none shared
| Benchmark | Gemini 2.5 Pro Preview 06-05 | GLM 4.7 Flash | Leader |
|---|---|---|---|
| Aider polyglot | 83.1% | Not measured | Only Gemini 2.5 Pro Preview 06-05 measured |
| LiveCodeBench (Vals AI) | 79.2% | Not measured | Only Gemini 2.5 Pro Preview 06-05 measured |
| LiveCodeBench (Artificial Analysis run) | 77.8% | Not measured | Only Gemini 2.5 Pro Preview 06-05 measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 22.0% | Only GLM 4.7 Flash measured |
| GSO-Bench | 3.9% | Not measured | Only Gemini 2.5 Pro Preview 06-05 measured |
| LMArena Text: coding | Not measured | 1382 | Only GLM 4.7 Flash measured |
| LMArena Text: software and IT | Not measured | 1389 | Only GLM 4.7 Flash measured |
| Neither model has a result on the other 31 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Gemini 2.5 Pro Preview 06-05 | GLM 4.7 Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 14.9 | Only GLM 4.7 Flash measured |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
| Benchmark | Gemini 2.5 Pro Preview 06-05 | GLM 4.7 Flash | Leader |
|---|---|---|---|
| τ²-Bench Telecom | Not measured | 98.8% | Only GLM 4.7 Flash measured |
| METR time horizons | 55.4% | Not measured | Only Gemini 2.5 Pro Preview 06-05 measured |
| Remote Labor Index | 0.8% | Not measured | Only Gemini 2.5 Pro Preview 06-05 measured |
| DeepResearch Bench | 42.8% | Not measured | Only Gemini 2.5 Pro Preview 06-05 measured |
| Neither model has a result on the other 35 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Gemini 2.5 Pro Preview 06-05 | GLM 4.7 Flash | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 83.6% | 58.1% | Gemini 2.5 Pro Preview 06-05 |
| Humanity's Last Exam (Artificial Analysis run) | 19.9% | 7.6% | Gemini 2.5 Pro Preview 06-05 |
| GPQA Diamond (Epoch AI run) | 84.8% | 60.5% | Gemini 2.5 Pro Preview 06-05 |
| SimpleBench | 62.4% | Not measured | Only Gemini 2.5 Pro Preview 06-05 measured |
| VPCT | 46.4% | Not measured | Only Gemini 2.5 Pro Preview 06-05 measured |
| LMArena Text: hard prompts | Not measured | 1356 | Only GLM 4.7 Flash measured |
| LMArena Text: expert | Not measured | 1357 | Only GLM 4.7 Flash measured |
| LMArena Text: hard prompts in English | Not measured | 1369 | Only GLM 4.7 Flash measured |
| Neither model has a result on the other 13 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | Gemini 2.5 Pro Preview 06-05 | GLM 4.7 Flash | Leader |
|---|---|---|---|
| OTIS Mock AIME | Not measured | 58.3% | Only GLM 4.7 Flash measured |
| LMArena Text: math | Not measured | 1355 | Only GLM 4.7 Flash measured |
| LMArena Text: mathematical work | Not measured | 1369 | Only GLM 4.7 Flash measured |
| Neither model has a result on the other 10 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | Gemini 2.5 Pro Preview 06-05 | GLM 4.7 Flash | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | 85.8% | Not measured | Only Gemini 2.5 Pro Preview 06-05 measured |
| LMArena Text: science | Not measured | 1358 | Only GLM 4.7 Flash measured |
| LMArena Text: medicine and healthcare | Not measured | 1343 | Only GLM 4.7 Flash measured |
| LMArena Text: legal and government | Not measured | 1357 | Only GLM 4.7 Flash measured |
| LMArena Text: business and finance | Not measured | 1343 | Only GLM 4.7 Flash measured |
| Neither model has a result on the other 12 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | Gemini 2.5 Pro Preview 06-05 | GLM 4.7 Flash | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1194 | Only GLM 4.7 Flash measured |
| Design Arena: UI components | Not measured | 1208 | Only GLM 4.7 Flash measured |
| Design Arena: game dev | Not measured | 1135 | Only GLM 4.7 Flash measured |
| Design Arena: data viz | Not measured | 1123 | Only GLM 4.7 Flash measured |
| Design Arena: 3D | Not measured | 1121 | Only GLM 4.7 Flash measured |
| Design Arena: all code categories | Not measured | 1178 | Only GLM 4.7 Flash measured |
| Design Arena: SVG | Not measured | 1038 | Only GLM 4.7 Flash measured |
| Neither model has a result on the other 2 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index19 boards, none shared
| Benchmark | Gemini 2.5 Pro Preview 06-05 | GLM 4.7 Flash | Leader |
|---|---|---|---|
| IFBench | Not measured | 60.8% | Only GLM 4.7 Flash measured |
| Long context reasoning (AA-LCR) | Not measured | 41.7% | Only GLM 4.7 Flash measured |
| Fiction.LiveBench | 91.7% | Not measured | Only Gemini 2.5 Pro Preview 06-05 measured |
| LMArena Text | Not measured | 1351 | Only GLM 4.7 Flash measured |
| LMArena Text: instruction following | Not measured | 1327 | Only GLM 4.7 Flash measured |
| LMArena Text: creative writing | Not measured | 1296 | Only GLM 4.7 Flash measured |
| LMArena Text: English | Not measured | 1373 | Only GLM 4.7 Flash measured |
| LMArena Text: non-English | Not measured | 1330 | Only GLM 4.7 Flash measured |
| LMArena Text: Chinese | Not measured | 1403 | Only GLM 4.7 Flash measured |
| LMArena Text: German | Not measured | 1336 | Only GLM 4.7 Flash measured |
| LMArena Text: Korean | Not measured | 1283 | Only GLM 4.7 Flash measured |
| LMArena Text: French | Not measured | 1332 | Only GLM 4.7 Flash measured |
| LMArena Text: Spanish | Not measured | 1350 | Only GLM 4.7 Flash measured |
| LMArena Text: Russian | Not measured | 1333 | Only GLM 4.7 Flash measured |
| LMArena Text: Polish | Not measured | 1291 | Only GLM 4.7 Flash measured |
| LMArena Text: multi-turn | Not measured | 1342 | Only GLM 4.7 Flash measured |
| LMArena Text: longer queries | Not measured | 1345 | Only GLM 4.7 Flash measured |
| LMArena Text: writing and language | Not measured | 1320 | Only GLM 4.7 Flash measured |
| LMArena Text: entertainment and media | Not measured | 1304 | Only GLM 4.7 Flash measured |
| Neither model has a result on the other 27 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 2.5 Pro Preview 06-05 | GLM 4.7 Flash | 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 Flash costs less
Repository review
50K input + 3K output tokens
GLM 4.7 Flash costs less
Agent loop
200K input + 10K output tokens
GLM 4.7 Flash 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 Preview 06-05 | Z.ai GLM 4.7 Flash |
|---|---|---|
| Maker | Z.ai | |
| Weights | No public weights listed | Open weights |
| Released | June 5, 2025 | January 19, 2026 |
| Context window | 1.05M | 200K |
| Input $/Mtok | $1.25 | $0.0653 |
| Output $/Mtok | $10.00 | $0.40 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 2.5 Pro Preview 06-05 better than GLM 4.7 Flash for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Gemini 2.5 Pro Preview 06-05 has the edge where the context window is larger, 1.05M against 200K tokens.
Which is cheaper, Gemini 2.5 Pro Preview 06-05 or GLM 4.7 Flash?
Gemini 2.5 Pro Preview 06-05 costs $1.25 per million input tokens and $10.00 per million output tokens; GLM 4.7 Flash costs $0.0653 and $0.40. Cost per solved task is known for neither of them.
Which has the bigger context window, Gemini 2.5 Pro Preview 06-05 or GLM 4.7 Flash?
Gemini 2.5 Pro Preview 06-05, with 1.05M tokens against 200K.
How many benchmarks is the Gemini 2.5 Pro Preview 06-05 vs GLM 4.7 Flash comparison based on?
3 benchmarks have a result for both models as of October 21, 2026. Gemini 2.5 Pro Preview 06-05's coding index rests on 0 independent benchmarks and GLM 4.7 Flash's on 0. Where only one model has a result, the page says so instead of naming a winner.