DeepSeek V4 Flash Vision Exp vs Gemma 3 27B
Updated October 21, 2026. 7 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick DeepSeek V4 Flash Vision Exp for coding: it scores 37.6 on the Vibe Coding Index against 4.9 for Gemma 3 27B.
Pick Gemma 3 27B when output tokens cost 1.8x less.
- Shared results
- 7
- DeepSeek V4 Flash Vision Exp only
- 7
- Gemma 3 27B only
- 55
- Like-for-like categories
- 5 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
DeepSeek V4 Flash Vision Exp
DeepSeek V4 Flash Vision Exp scores 37.6 against 4.9.
One benchmark behind each score
Intelligence
AA Intelligence Index
DeepSeek V4 Flash Vision Exp
DeepSeek V4 Flash Vision Exp leads, 34.8 against 4.9.
Same board, both measured
Agentic work
AA Agentic Index
DeepSeek V4 Flash Vision Exp
DeepSeek V4 Flash Vision Exp leads, 47.5 against 0.1.
Same board, both measured
Long documents
Listed context window
DeepSeek V4 Flash Vision Exp
DeepSeek V4 Flash Vision Exp takes 1.05M tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemma 3 27B
DeepSeek V4 Flash Vision Exp $0.0005, Gemma 3 27B $0.0003 per turn.
List prices
At a glance
- Coding index
- DeepSeek V4 Flash Vision Exp 37.6 from 1 benchmark, Gemma 3 27B 4.9 from 1 benchmark.
- Widest category
- General, 74.0 points apart on average over 1 shared benchmark.
- Widest single gap
- Long context reasoning (AA-LCR): DeepSeek V4 Flash Vision Exp 81.3% against Gemma 3 27B 7.3%, 74.0 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V4 Flash Vision Exp $0.6468 against Gemma 3 27B $0.35 per million output tokens, 1.8x apart.
- Context window
- DeepSeek V4 Flash Vision Exp takes 1.05M tokens, Gemma 3 27B 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 | DeepSeek V4 Flash Vision Exp | Bars | Gemma 3 27B | Ties |
|---|---|---|---|---|
| Coding | 2 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 2 | 0 | ||
| General | 1 | 0 | ||
| All shared boards | 7 | 0 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index20
| Benchmark | DeepSeek V4 Flash Vision Exp | Gemma 3 27B | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 4.9% | Only Gemma 3 27B measured |
| LiveBench coding | 37.6% | Not measured | Only DeepSeek V4 Flash Vision Exp measured |
| AA Coding Index | 65.0 | 10.1 | DeepSeek V4 Flash Vision Exp |
| LiveCodeBench (Artificial Analysis run) | Not measured | 13.7% | Only Gemma 3 27B measured |
| SciCode | 49.7% | 23.3% | DeepSeek V4 Flash Vision Exp |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 3.8% | Only Gemma 3 27B measured |
| LMArena Text: coding | Not measured | 1322 | Only Gemma 3 27B measured |
| LMArena Text: software and IT | Not measured | 1354 | Only Gemma 3 27B measured |
| Neither model has a result on the other 30 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | DeepSeek V4 Flash Vision Exp | Gemma 3 27B | Leader |
|---|---|---|---|
| AA Intelligence Index | 34.8 | 4.9 | DeepSeek V4 Flash Vision Exp |
| Epoch Capabilities Index | Not measured | 130.0 | Only Gemma 3 27B measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | DeepSeek V4 Flash Vision Exp | Gemma 3 27B | Leader |
|---|---|---|---|
| AA Agentic Index | 47.5 | 0.1 | DeepSeek V4 Flash Vision Exp |
| 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 | 10.5% | Only Gemma 3 27B measured |
| Neither model has a result on the other 34 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | DeepSeek V4 Flash Vision Exp | Gemma 3 27B | Leader |
|---|---|---|---|
| LiveBench reasoning | 85.4% | Not measured | Only DeepSeek V4 Flash Vision Exp measured |
| GPQA Diamond (Artificial Analysis run) | 91.3% | 42.8% | DeepSeek V4 Flash Vision Exp |
| Humanity's Last Exam (Artificial Analysis run) | 34.5% | 4.4% | DeepSeek V4 Flash Vision Exp |
| GPQA Diamond (Epoch AI run) | Not measured | 47.7% | Only Gemma 3 27B measured |
| LMArena Text: hard prompts | Not measured | 1340 | Only Gemma 3 27B measured |
| LMArena Text: expert | Not measured | 1304 | Only Gemma 3 27B measured |
| LMArena Text: hard prompts in English | Not measured | 1353 | Only Gemma 3 27B measured |
| LMArena Vision: diagrams | Not measured | 1156 | Only Gemma 3 27B measured |
| LMArena Vision: homework | Not measured | 1160 | Only Gemma 3 27B measured |
| Neither model has a result on the other 12 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | DeepSeek V4 Flash Vision Exp | Gemma 3 27B | Leader |
|---|---|---|---|
| AA Math Index | Not measured | 20.7 | Only Gemma 3 27B measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 20.7% | Only Gemma 3 27B measured |
| OTIS Mock AIME | Not measured | 22.5% | Only Gemma 3 27B measured |
| MATH level 5 | Not measured | 74.0% | Only Gemma 3 27B measured |
| LMArena Text: math | Not measured | 1312 | Only Gemma 3 27B measured |
| LMArena Text: mathematical work | Not measured | 1327 | Only Gemma 3 27B measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | DeepSeek V4 Flash Vision Exp | Gemma 3 27B | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | Not measured | 66.9% | Only Gemma 3 27B measured |
| GeoBench | Not measured | 52.0% | Only Gemma 3 27B measured |
| LMArena Text: science | Not measured | 1383 | Only Gemma 3 27B measured |
| LMArena Text: medicine and healthcare | Not measured | 1391 | Only Gemma 3 27B measured |
| LMArena Text: legal and government | Not measured | 1375 | Only Gemma 3 27B measured |
| LMArena Text: business and finance | Not measured | 1360 | Only Gemma 3 27B measured |
| Neither model has a result on the other 11 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | DeepSeek V4 Flash Vision Exp | Gemma 3 27B | Leader |
|---|---|---|---|
| LiveBench design | 70.7% | Not measured | Only DeepSeek V4 Flash Vision Exp measured |
| Neither model has a result on the other 8 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | DeepSeek V4 Flash Vision Exp | Gemma 3 27B | Leader |
|---|---|---|---|
| LiveBench data analysis | 79.5% | Not measured | Only DeepSeek V4 Flash Vision Exp measured |
| IFBench | Not measured | 31.8% | Only Gemma 3 27B measured |
| Long context reasoning (AA-LCR) | 81.3% | 7.3% | DeepSeek V4 Flash Vision Exp |
| DTBench | Not measured | 52.5% | Only Gemma 3 27B measured |
| LMCA | Not measured | 12.3% | Only Gemma 3 27B measured |
| Fiction.LiveBench | Not measured | 33.3% | Only Gemma 3 27B measured |
| Creative writing (Lech Mazur) | Not measured | 79.9% | Only Gemma 3 27B measured |
| LMArena Text | Not measured | 1358 | Only Gemma 3 27B measured |
| LMArena Text: instruction following | Not measured | 1321 | Only Gemma 3 27B measured |
| LMArena Text: creative writing | Not measured | 1345 | Only Gemma 3 27B measured |
| LMArena Vision | Not measured | 1165 | Only Gemma 3 27B measured |
| LMArena Text: English | Not measured | 1377 | Only Gemma 3 27B measured |
| LMArena Text: non-English | Not measured | 1334 | Only Gemma 3 27B measured |
| LMArena Text: Chinese | Not measured | 1346 | Only Gemma 3 27B measured |
| LMArena Text: German | Not measured | 1362 | Only Gemma 3 27B measured |
| LMArena Text: Japanese | Not measured | 1287 | Only Gemma 3 27B measured |
| LMArena Text: Korean | Not measured | 1308 | Only Gemma 3 27B measured |
| LMArena Text: French | Not measured | 1368 | Only Gemma 3 27B measured |
| LMArena Text: Spanish | Not measured | 1349 | Only Gemma 3 27B measured |
| LMArena Text: Russian | Not measured | 1349 | Only Gemma 3 27B measured |
| LMArena Text: Polish | Not measured | 1345 | Only Gemma 3 27B measured |
| LMArena Text: multi-turn | Not measured | 1345 | Only Gemma 3 27B measured |
| LMArena Text: longer queries | Not measured | 1333 | Only Gemma 3 27B measured |
| LMArena Text: writing and language | Not measured | 1347 | Only Gemma 3 27B measured |
| LMArena Text: entertainment and media | Not measured | 1320 | Only Gemma 3 27B measured |
| LMArena Vision: English | Not measured | 1188 | Only Gemma 3 27B measured |
| LMArena Vision: Chinese | Not measured | 1164 | Only Gemma 3 27B measured |
| LMArena Vision: reading text | Not measured | 1156 | Only Gemma 3 27B measured |
| LMArena Vision: humor | Not measured | 1166 | Only Gemma 3 27B measured |
| LMArena Vision: captioning | Not measured | 1151 | Only Gemma 3 27B measured |
| LMArena Vision: recognizing things | Not measured | 1196 | Only Gemma 3 27B measured |
| LMArena Vision: creative writing | Not measured | 1177 | Only Gemma 3 27B 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 | DeepSeek V4 Flash Vision Exp | Gemma 3 27B | 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
Gemma 3 27B costs less
Repository review
50K input + 3K output tokens
Gemma 3 27B costs less
Agent loop
200K input + 10K output tokens
Gemma 3 27B 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 | Google Gemma 3 27B |
|---|---|---|
| Maker | DeepSeek | |
| Weights | Open weights | Open weights |
| Released | August 21, 2026 | March 12, 2025 |
| Context window | 1.05M | 131K |
| Input $/Mtok | $0.2156 | $0.08 |
| Output $/Mtok | $0.6468 | $0.35 |
| Coding index | 37.6 | 4.9 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V4 Flash Vision Exp better than Gemma 3 27B for coding?
Pick DeepSeek V4 Flash Vision Exp for coding: it scores 37.6 on the Vibe Coding Index against 4.9 for Gemma 3 27B. Pick Gemma 3 27B when output tokens cost 1.8x less.
Which is cheaper, DeepSeek V4 Flash Vision Exp or Gemma 3 27B?
DeepSeek V4 Flash Vision Exp costs $0.2156 per million input tokens and $0.6468 per million output tokens; Gemma 3 27B costs $0.08 and $0.35. Cost per solved task is known for neither of them.
Which has the bigger context window, DeepSeek V4 Flash Vision Exp or Gemma 3 27B?
DeepSeek V4 Flash Vision Exp, with 1.05M tokens against 131K.
How many benchmarks is the DeepSeek V4 Flash Vision Exp vs Gemma 3 27B comparison based on?
7 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 Gemma 3 27B's on 1. Where only one model has a result, the page says so instead of naming a winner.