DeepSeek V4 Flash Vision Exp vs Gemma 4 31B
Updated October 21, 2026. 14 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
DeepSeek V4 Flash Vision Exp and Gemma 4 31B are level for coding, 37.6 against 38.3 on the Vibe Coding Index, so price and context decide.
Pick DeepSeek V4 Flash Vision Exp when the context window is larger, 1.05M against 262K tokens, or when what matters is AA Coding Index or SciCode, where it leads. Pick Gemma 4 31B when output tokens cost 1.6x less, or when the benchmark that matters is LiveBench coding, where it leads.
- Shared results
- 14
- DeepSeek V4 Flash Vision Exp only
- 0
- Gemma 4 31B only
- 54
- Like-for-like categories
- 6 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
No call
Level: 37.6 against 38.3, inside 2 points.
1 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
DeepSeek V4 Flash Vision Exp
DeepSeek V4 Flash Vision Exp leads, 34.8 against 14.7.
Same board, both measured
Agentic work
AA Agentic Index
DeepSeek V4 Flash Vision Exp
DeepSeek V4 Flash Vision Exp leads, 47.5 against 4.2.
Same board, both measured
Long documents
Listed context window
DeepSeek V4 Flash Vision Exp
DeepSeek V4 Flash Vision Exp takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemma 4 31B
DeepSeek V4 Flash Vision Exp $0.0005, Gemma 4 31B $0.0004 per turn.
List prices
At a glance
- Coding index
- DeepSeek V4 Flash Vision Exp 37.6 from 1 benchmark, Gemma 4 31B 38.3 from 2 benchmarks.
- Widest category
- Agentic work, 38.4 points apart on average over 4 shared benchmarks.
- Widest single gap
- LiveBench browser: DeepSeek V4 Flash Vision Exp 64.0% against Gemma 4 31B 4.0%, 60.0 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V4 Flash Vision Exp $0.6468 against Gemma 4 31B $0.40 per million output tokens, 1.6x apart.
- Context window
- DeepSeek V4 Flash Vision Exp takes 1.05M tokens, Gemma 4 31B 262K.
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 4 31B | Ties |
|---|---|---|---|---|
| Coding | 2 | 1 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 4 | 0 | ||
| Reasoning | 3 | 0 | ||
| Web design | 1 | 0 | ||
| General | 2 | 0 | ||
| All shared boards | 13 | 1 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index21
| Benchmark | DeepSeek V4 Flash Vision Exp | Gemma 4 31B | Leader |
|---|---|---|---|
| LiveBench coding | 37.6% | 49.0% | Gemma 4 31B |
| LMArena WebDev | Not measured | 1367 | Only Gemma 4 31B measured |
| AA Coding Index | 65.0 | 43.4 | DeepSeek V4 Flash Vision Exp |
| SciCode | 49.7% | 45.5% | DeepSeek V4 Flash Vision Exp |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 36.4% | Only Gemma 4 31B measured |
| WeirdML | Not measured | 52.3% | Only Gemma 4 31B measured |
| ALE-Bench | Not measured | 925.5 | Only Gemma 4 31B measured |
| LMArena Text: coding | Not measured | 1459 | Only Gemma 4 31B measured |
| LMArena Text: software and IT | Not measured | 1463 | Only Gemma 4 31B measured |
| LMArena WebDev: React | Not measured | 1359 | Only Gemma 4 31B measured |
| LMArena WebDev: HTML | Not measured | 1380 | Only Gemma 4 31B measured |
| Neither model has a result on the other 27 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | DeepSeek V4 Flash Vision Exp | Gemma 4 31B | Leader |
|---|---|---|---|
| AA Intelligence Index | 34.8 | 14.7 | DeepSeek V4 Flash Vision Exp |
| Epoch Capabilities Index | Not measured | 143.0 | Only Gemma 4 31B measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | DeepSeek V4 Flash Vision Exp | Gemma 4 31B | Leader |
|---|---|---|---|
| AA Agentic Index | 47.5 | 4.2 | DeepSeek V4 Flash Vision Exp |
| LiveBench research | 69.2% | 44.4% | DeepSeek V4 Flash Vision Exp |
| LiveBench browser | 64.0% | 4.0% | DeepSeek V4 Flash Vision Exp |
| LiveBench long agentic | 39.0% | 13.3% | DeepSeek V4 Flash Vision Exp |
| τ²-Bench Telecom | Not measured | 65.5% | Only Gemma 4 31B measured |
| Neither model has a result on the other 34 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | DeepSeek V4 Flash Vision Exp | Gemma 4 31B | Leader |
|---|---|---|---|
| LiveBench reasoning | 85.4% | 68.3% | DeepSeek V4 Flash Vision Exp |
| GPQA Diamond (Artificial Analysis run) | 91.3% | 85.7% | DeepSeek V4 Flash Vision Exp |
| Humanity's Last Exam (Artificial Analysis run) | 34.5% | 23.6% | DeepSeek V4 Flash Vision Exp |
| GPQA Diamond (Epoch AI run) | Not measured | 75.8% | Only Gemma 4 31B measured |
| LMArena Text: hard prompts | Not measured | 1448 | Only Gemma 4 31B measured |
| LMArena Text: expert | Not measured | 1464 | Only Gemma 4 31B measured |
| LMArena Text: hard prompts in English | Not measured | 1456 | Only Gemma 4 31B measured |
| LMArena Vision: diagrams | Not measured | 1283 | Only Gemma 4 31B measured |
| LMArena Vision: homework | Not measured | 1310 | Only Gemma 4 31B measured |
| Neither model has a result on the other 12 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | DeepSeek V4 Flash Vision Exp | Gemma 4 31B | Leader |
|---|---|---|---|
| OTIS Mock AIME | Not measured | 73.3% | Only Gemma 4 31B measured |
| LMArena Text: math | Not measured | 1463 | Only Gemma 4 31B measured |
| LMArena Text: mathematical work | Not measured | 1465 | Only Gemma 4 31B measured |
| Neither model has a result on the other 10 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | DeepSeek V4 Flash Vision Exp | Gemma 4 31B | Leader |
|---|---|---|---|
| CaseLaw (Vals AI) | Not measured | 52.6% | Only Gemma 4 31B measured |
| MortgageTax (Vals AI) | Not measured | 61.4% | Only Gemma 4 31B measured |
| SimpleQA Verified | Not measured | 10.4% | Only Gemma 4 31B measured |
| LMArena Text: science | Not measured | 1457 | Only Gemma 4 31B measured |
| LMArena Text: medicine and healthcare | Not measured | 1451 | Only Gemma 4 31B measured |
| LMArena Text: legal and government | Not measured | 1438 | Only Gemma 4 31B measured |
| LMArena Text: business and finance | Not measured | 1430 | Only Gemma 4 31B measured |
| Neither model has a result on the other 10 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | DeepSeek V4 Flash Vision Exp | Gemma 4 31B | Leader |
|---|---|---|---|
| LiveBench design | 70.7% | 58.4% | DeepSeek V4 Flash Vision Exp |
| Neither model has a result on the other 8 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | DeepSeek V4 Flash Vision Exp | Gemma 4 31B | Leader |
|---|---|---|---|
| LiveBench data analysis | 79.5% | 53.3% | DeepSeek V4 Flash Vision Exp |
| SAGE (Vals AI) | Not measured | 55.0% | Only Gemma 4 31B measured |
| IFBench | Not measured | 75.6% | Only Gemma 4 31B measured |
| Long context reasoning (AA-LCR) | 81.3% | 69.7% | DeepSeek V4 Flash Vision Exp |
| DTBench | Not measured | 82.7% | Only Gemma 4 31B measured |
| LMCA | Not measured | 39.3% | Only Gemma 4 31B measured |
| Surface Evolver Bench | Not measured | 30.6% | Only Gemma 4 31B measured |
| LMArena Text | Not measured | 1443 | Only Gemma 4 31B measured |
| LMArena Text: instruction following | Not measured | 1433 | Only Gemma 4 31B measured |
| LMArena Text: creative writing | Not measured | 1417 | Only Gemma 4 31B measured |
| LMArena Vision | Not measured | 1276 | Only Gemma 4 31B measured |
| LMArena Text: English | Not measured | 1451 | Only Gemma 4 31B measured |
| LMArena Text: non-English | Not measured | 1430 | Only Gemma 4 31B measured |
| LMArena Text: Chinese | Not measured | 1475 | Only Gemma 4 31B measured |
| LMArena Text: French | Not measured | 1436 | Only Gemma 4 31B measured |
| LMArena Text: Spanish | Not measured | 1442 | Only Gemma 4 31B measured |
| LMArena Text: Russian | Not measured | 1460 | Only Gemma 4 31B measured |
| LMArena Text: Polish | Not measured | 1433 | Only Gemma 4 31B measured |
| LMArena Text: multi-turn | Not measured | 1452 | Only Gemma 4 31B measured |
| LMArena Text: longer queries | Not measured | 1446 | Only Gemma 4 31B measured |
| LMArena Text: writing and language | Not measured | 1432 | Only Gemma 4 31B measured |
| LMArena Text: entertainment and media | Not measured | 1405 | Only Gemma 4 31B measured |
| LMArena Vision: English | Not measured | 1271 | Only Gemma 4 31B measured |
| LMArena Vision: Chinese | Not measured | 1326 | Only Gemma 4 31B measured |
| LMArena Vision: reading text | Not measured | 1282 | Only Gemma 4 31B measured |
| LMArena Vision: humor | Not measured | 1280 | Only Gemma 4 31B measured |
| LMArena Vision: captioning | Not measured | 1218 | Only Gemma 4 31B measured |
| LMArena Vision: recognizing things | Not measured | 1226 | Only Gemma 4 31B measured |
| LMArena Vision: creative writing | Not measured | 1285 | Only Gemma 4 31B measured |
| LMArena Document | Not measured | 1425 | Only Gemma 4 31B measured |
| Neither model has a result on the other 16 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V4 Flash Vision Exp | Gemma 4 31B | 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 4 31B costs less
Repository review
50K input + 3K output tokens
Gemma 4 31B costs less
Agent loop
200K input + 10K output tokens
Gemma 4 31B 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 4 31B |
|---|---|---|
| Maker | DeepSeek | |
| Weights | Open weights | Open weights |
| Released | August 21, 2026 | April 2, 2026 |
| Context window | 1.05M | 262K |
| Input $/Mtok | $0.2156 | $0.20 |
| Output $/Mtok | $0.6468 | $0.40 |
| Coding index | 37.6 | 38.3 |
| Independent measurements behind it | 1 | 2 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V4 Flash Vision Exp better than Gemma 4 31B for coding?
DeepSeek V4 Flash Vision Exp and Gemma 4 31B are level for coding, 37.6 against 38.3 on the Vibe Coding Index, so price and context decide. Pick DeepSeek V4 Flash Vision Exp when the context window is larger, 1.05M against 262K tokens, or when what matters is AA Coding Index or SciCode, where it leads. Pick Gemma 4 31B when output tokens cost 1.6x less, or when the benchmark that matters is LiveBench coding, where it leads.
Which is cheaper, DeepSeek V4 Flash Vision Exp or Gemma 4 31B?
DeepSeek V4 Flash Vision Exp costs $0.2156 per million input tokens and $0.6468 per million output tokens; Gemma 4 31B costs $0.20 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 Gemma 4 31B?
DeepSeek V4 Flash Vision Exp, with 1.05M tokens against 262K.
How many benchmarks is the DeepSeek V4 Flash Vision Exp vs Gemma 4 31B comparison based on?
14 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 4 31B's on 2. Where only one model has a result, the page says so instead of naming a winner.