DeepSeek V4 Flash Vision Exp vs GLM 4.7 Flash
DeepSeek V4 Flash Vision Exp leads GLM 4.7 Flash on the Artificial Analysis Intelligence Index, 34.8 to 14.9, and GLM 4.7 Flash costs 3.3x less per output token ($0.40 vs $1.32 per million). Updated October 21, 2026; 4 benchmarks have a result for both.
DeepSeek V4 Flash Vision Exp or GLM 4.7 Flash: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick DeepSeek V4 Flash Vision Exp for a larger context window (1.05M against 200K tokens).
- Shared results
- 4
- DeepSeek V4 Flash Vision Exp only
- 10
- GLM 4.7 Flash only
- 39
- Like-for-like categories
- 3 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
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
DeepSeek V4 Flash Vision Exp
DeepSeek V4 Flash Vision Exp leads, 34.8 against 14.9.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only DeepSeek V4 Flash Vision Exp has a AA Agentic Index result, 47.5.
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
DeepSeek V4 Flash Vision Exp
DeepSeek V4 Flash Vision Exp takes 1.05M tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GLM 4.7 Flash
DeepSeek V4 Flash Vision Exp $0.0011, GLM 4.7 Flash $0.0003 per turn.
List prices
At a glance
- Coding index
- DeepSeek V4 Flash Vision Exp not benchmarked, GLM 4.7 Flash not benchmarked.
- Widest category
- General, 39.7 points apart on average over 1 shared benchmark.
- Widest single gap
- Long context reasoning (AA-LCR): DeepSeek V4 Flash Vision Exp 81.3% against GLM 4.7 Flash 41.7%, 39.7 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V4 Flash Vision Exp $1.32 against GLM 4.7 Flash $0.40 per million output tokens, 3.3x apart.
- Context window
- DeepSeek V4 Flash Vision Exp 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 | DeepSeek V4 Flash Vision Exp | Bars | GLM 4.7 Flash | Ties |
|---|---|---|---|---|
| Intelligence | 1 | 0 | ||
| Reasoning | 2 | 0 | ||
| General | 1 | 0 | ||
| All shared boards | 4 | 0 |
CodingDirectional onlySix of these boards feed the Vibe Coding Index6 boards, none shared
| Benchmark | DeepSeek V4 Flash Vision Exp | GLM 4.7 Flash | Leader |
|---|---|---|---|
| LiveBench coding | 37.6% | Not measured | Only DeepSeek V4 Flash Vision Exp measured |
| AA Coding Index | 65.0 | Not measured | Only DeepSeek V4 Flash Vision Exp measured |
| SciCode | 49.7% | Not measured | Only DeepSeek V4 Flash Vision Exp measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 22.0% | Only GLM 4.7 Flash 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 33 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | DeepSeek V4 Flash Vision Exp | GLM 4.7 Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | 34.8 | 14.9 | DeepSeek V4 Flash Vision Exp |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | DeepSeek V4 Flash Vision Exp | GLM 4.7 Flash | Leader |
|---|---|---|---|
| AA Agentic Index | 47.5 | Not measured | Only DeepSeek V4 Flash Vision Exp measured |
| LiveBench research | 69.2% | Not measured | Only DeepSeek V4 Flash Vision Exp measured |
| LiveBench browser | 64.0% | Not measured | Only DeepSeek V4 Flash Vision Exp measured |
| LiveBench long agentic | 39.0% | Not measured | Only DeepSeek V4 Flash Vision Exp measured |
| τ²-Bench Telecom | Not measured | 98.8% | Only GLM 4.7 Flash measured |
| Neither model has a result on the other 36 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | DeepSeek V4 Flash Vision Exp | GLM 4.7 Flash | Leader |
|---|---|---|---|
| LiveBench reasoning | 85.4% | Not measured | Only DeepSeek V4 Flash Vision Exp measured |
| GPQA Diamond (Artificial Analysis run) | 91.3% | 58.1% | DeepSeek V4 Flash Vision Exp |
| Humanity's Last Exam (Artificial Analysis run) | 34.5% | 7.6% | DeepSeek V4 Flash Vision Exp |
| GPQA Diamond (Epoch AI run) | Not measured | 60.5% | Only GLM 4.7 Flash 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 15 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | DeepSeek V4 Flash Vision Exp | 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 index4 boards, none shared
| Benchmark | DeepSeek V4 Flash Vision Exp | GLM 4.7 Flash | Leader |
|---|---|---|---|
| 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 14 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | DeepSeek V4 Flash Vision Exp | 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 |
| LiveBench design | 70.7% | Not measured | Only DeepSeek V4 Flash Vision Exp measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | DeepSeek V4 Flash Vision Exp | GLM 4.7 Flash | Leader |
|---|---|---|---|
| LiveBench data analysis | 79.5% | Not measured | Only DeepSeek V4 Flash Vision Exp measured |
| IFBench | Not measured | 60.8% | Only GLM 4.7 Flash measured |
| Long context reasoning (AA-LCR) | 81.3% | 41.7% | DeepSeek V4 Flash Vision Exp |
| 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 | DeepSeek V4 Flash Vision Exp | 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 | DeepSeek V4 Flash Vision Exp | Z.ai GLM 4.7 Flash |
|---|---|---|
| Maker | DeepSeek | Z.ai |
| Weights | Open weights | Open weights |
| Released | August 21, 2026 | January 19, 2026 |
| Context window | 1.05M | 200K |
| Input $/Mtok | $0.44 | $0.0653 |
| Output $/Mtok | $1.32 | $0.40 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 1 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V4 Flash Vision Exp better than GLM 4.7 Flash for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick DeepSeek V4 Flash Vision Exp for a larger context window (1.05M against 200K tokens).
Which is cheaper, DeepSeek V4 Flash Vision Exp or GLM 4.7 Flash?
DeepSeek V4 Flash Vision Exp costs $0.44 per million input tokens and $1.32 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, DeepSeek V4 Flash Vision Exp or GLM 4.7 Flash?
DeepSeek V4 Flash Vision Exp, with 1.05M tokens against 200K.
How many benchmarks is the DeepSeek V4 Flash Vision Exp vs GLM 4.7 Flash comparison based on?
4 benchmarks have a result for both models as of October 21, 2026. DeepSeek V4 Flash Vision Exp's coding index rests on 1 independent benchmark and GLM 4.7 Flash's on 0. Where only one model has a result, the page says so instead of naming a winner.