DeepSeek V3 0324 vs Gemma 4 26B A4B
Gemma 4 26B A4B leads DeepSeek V3 0324 on the Artificial Analysis Intelligence Index, 16.7 to 9.7, and Gemma 4 26B A4B costs 1.8x less per output token ($0.60 vs $1.07 per million). Updated October 22, 2026; 15 benchmarks have a result for both.
DeepSeek V3 0324 or Gemma 4 26B A4B: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick DeepSeek V3 0324 for work measured by AA Coding Index or SciCode, where it leads.
- Shared results
- 15
- DeepSeek V3 0324 only
- 20
- Gemma 4 26B A4B only
- 40
- Like-for-like categories
- 6 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
Gemma 4 26B A4B
Gemma 4 26B A4B leads, 16.7 against 9.7.
Same board, both measured
Agentic work
AA Agentic Index
Gemma 4 26B A4B
Gemma 4 26B A4B leads, 2.9 against 0.8.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only DeepSeek V3 0324 has a GPQA Diamond result, 61.6%.
Directional only
Math
AIME
No call
Only DeepSeek V3 0324 has a AIME result, 52.2%.
Directional only
Knowledge
MMLU Pro
No call
Only DeepSeek V3 0324 has a MMLU Pro result, 79.5%.
Directional only
Long documents
Listed context window
Gemma 4 26B A4B
Gemma 4 26B A4B takes 262K tokens against 164K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemma 4 26B A4B
DeepSeek V3 0324 $0.0008, Gemma 4 26B A4B $0.0004 per turn.
List prices
At a glance
- Coding index
- DeepSeek V3 0324 not benchmarked, Gemma 4 26B A4B not benchmarked.
- Widest category
- Math, 44.4 points apart on average over 1 shared benchmark.
- Widest single gap
- OTIS Mock AIME: DeepSeek V3 0324 37.8% against Gemma 4 26B A4B 82.2%, 44.4 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V3 0324 $1.07 against Gemma 4 26B A4B $0.60 per million output tokens, 1.8x apart.
- Context window
- DeepSeek V3 0324 takes 164K tokens, Gemma 4 26B A4B 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 V3 0324 | Bars | Gemma 4 26B A4B | Ties |
|---|---|---|---|---|
| Coding | 1 | 3 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 1 | 1 | ||
| Reasoning | 0 | 3 | ||
| Math | 0 | 1 | ||
| General | 0 | 4 | ||
| All shared boards | 2 | 13 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index13
| Benchmark | DeepSeek V3 0324 | Gemma 4 26B A4B | Leader |
|---|---|---|---|
| SWE-bench Verified | 42.0% | Not measured | Only DeepSeek V3 0324 measured |
| LMArena WebDev | Not measured | 1360 | Only Gemma 4 26B A4B measured |
| AA Coding Index | 21.2 | 39.3 | Gemma 4 26B A4B |
| LiveCodeBench (Vals AI) | 65.5% | Not measured | Only DeepSeek V3 0324 measured |
| LiveCodeBench (Artificial Analysis run) | 40.5% | Not measured | Only DeepSeek V3 0324 measured |
| SciCode | 39.0% | 40.0% | Gemma 4 26B A4B |
| Terminal-Bench Hard (Artificial Analysis run) | 15.2% | 25.0% | Gemma 4 26B A4B |
| WeirdML | 36.1% | 35.2% | DeepSeek V3 0324 |
| ALE-Bench | Not measured | 927.2 | Only Gemma 4 26B A4B measured |
| LMArena Text: coding | Not measured | 1446 | Only Gemma 4 26B A4B measured |
| LMArena Text: software and IT | Not measured | 1454 | Only Gemma 4 26B A4B measured |
| LMArena WebDev: React | Not measured | 1351 | Only Gemma 4 26B A4B measured |
| LMArena WebDev: HTML | Not measured | 1362 | Only Gemma 4 26B A4B measured |
| Neither model has a result on the other 26 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | DeepSeek V3 0324 | Gemma 4 26B A4B | Leader |
|---|---|---|---|
| AA Intelligence Index | 9.7 | 16.7 | Gemma 4 26B A4B |
| Epoch Capabilities Index | Not measured | 141.9 | Only Gemma 4 26B A4B measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | DeepSeek V3 0324 | Gemma 4 26B A4B | Leader |
|---|---|---|---|
| AA Agentic Index | 0.8 | 2.9 | Gemma 4 26B A4B |
| τ²-Bench Telecom | 47.1% | 43.6% | DeepSeek V3 0324 |
| METR time horizons | 49.6% | Not measured | Only DeepSeek V3 0324 measured |
| Neither model has a result on the other 38 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | DeepSeek V3 0324 | Gemma 4 26B A4B | Leader |
|---|---|---|---|
| GPQA Diamond | 61.6% | Not measured | Only DeepSeek V3 0324 measured |
| GPQA Diamond (Artificial Analysis run) | 65.5% | 79.2% | Gemma 4 26B A4B |
| Humanity's Last Exam (Artificial Analysis run) | 4.7% | 19.3% | Gemma 4 26B A4B |
| GPQA Diamond (Epoch AI run) | 67.6% | 73.2% | Gemma 4 26B A4B |
| SimpleBench | 27.2% | Not measured | Only DeepSeek V3 0324 measured |
| LMArena Text: hard prompts | Not measured | 1438 | Only Gemma 4 26B A4B measured |
| LMArena Text: expert | Not measured | 1447 | Only Gemma 4 26B A4B measured |
| LMArena Text: hard prompts in English | Not measured | 1448 | Only Gemma 4 26B A4B measured |
| LMArena Vision: diagrams | Not measured | 1264 | Only Gemma 4 26B A4B measured |
| LMArena Vision: homework | Not measured | 1293 | Only Gemma 4 26B A4B measured |
| Neither model has a result on the other 12 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | DeepSeek V3 0324 | Gemma 4 26B A4B | Leader |
|---|---|---|---|
| AIME | 52.2% | Not measured | Only DeepSeek V3 0324 measured |
| MATH 500 (Vals AI) | 88.6% | Not measured | Only DeepSeek V3 0324 measured |
| MGSM (Vals AI) | 91.7% | Not measured | Only DeepSeek V3 0324 measured |
| AA Math Index | 41.0 | Not measured | Only DeepSeek V3 0324 measured |
| AIME 2025 (Artificial Analysis run) | 41.0% | Not measured | Only DeepSeek V3 0324 measured |
| OTIS Mock AIME | 37.8% | 82.2% | Gemma 4 26B A4B |
| MATH level 5 | 75.5% | Not measured | Only DeepSeek V3 0324 measured |
| LMArena Text: math | Not measured | 1470 | Only Gemma 4 26B A4B measured |
| LMArena Text: mathematical work | Not measured | 1475 | Only Gemma 4 26B A4B measured |
| Neither model has a result on the other 4 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
| Benchmark | DeepSeek V3 0324 | Gemma 4 26B A4B | Leader |
|---|---|---|---|
| MMLU Pro | 79.5% | Not measured | Only DeepSeek V3 0324 measured |
| LegalBench (Vals AI) | 77.7% | Not measured | Only DeepSeek V3 0324 measured |
| CorpFin (Vals AI) | 54.7% | Not measured | Only DeepSeek V3 0324 measured |
| TaxEval (Vals AI) | 71.1% | Not measured | Only DeepSeek V3 0324 measured |
| MedQA (Vals AI) | 82.0% | Not measured | Only DeepSeek V3 0324 measured |
| MMLU Pro (Artificial Analysis run) | 81.9% | Not measured | Only DeepSeek V3 0324 measured |
| LMArena Text: science | Not measured | 1446 | Only Gemma 4 26B A4B measured |
| LMArena Text: medicine and healthcare | Not measured | 1428 | Only Gemma 4 26B A4B measured |
| LMArena Text: legal and government | Not measured | 1457 | Only Gemma 4 26B A4B measured |
| LMArena Text: business and finance | Not measured | 1429 | Only Gemma 4 26B A4B measured |
| FACTS Benchmark Suite | Not measured | 42.7% | Only Gemma 4 26B A4B measured |
| Neither model has a result on the other 7 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V3 0324 | Gemma 4 26B A4B | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | DeepSeek V3 0324 | Gemma 4 26B A4B | Leader |
|---|---|---|---|
| IFBench | 41.0% | 72.4% | Gemma 4 26B A4B |
| Long context reasoning (AA-LCR) | 40.7% | 65.7% | Gemma 4 26B A4B |
| DTBench | 64.8% | 74.9% | Gemma 4 26B A4B |
| LMCA | 15.5% | 29.7% | Gemma 4 26B A4B |
| Fiction.LiveBench | 50.0% | Not measured | Only DeepSeek V3 0324 measured |
| Creative writing (Lech Mazur) | 77.0% | Not measured | Only DeepSeek V3 0324 measured |
| LMArena Text | Not measured | 1434 | Only Gemma 4 26B A4B measured |
| LMArena Text: instruction following | Not measured | 1420 | Only Gemma 4 26B A4B measured |
| LMArena Text: creative writing | Not measured | 1400 | Only Gemma 4 26B A4B measured |
| LMArena Vision | Not measured | 1260 | Only Gemma 4 26B A4B measured |
| LMArena Text: English | Not measured | 1444 | Only Gemma 4 26B A4B measured |
| LMArena Text: non-English | Not measured | 1421 | Only Gemma 4 26B A4B measured |
| LMArena Text: Chinese | Not measured | 1495 | Only Gemma 4 26B A4B measured |
| LMArena Text: French | Not measured | 1460 | Only Gemma 4 26B A4B measured |
| LMArena Text: Spanish | Not measured | 1415 | Only Gemma 4 26B A4B measured |
| LMArena Text: Russian | Not measured | 1434 | Only Gemma 4 26B A4B measured |
| LMArena Text: multi-turn | Not measured | 1441 | Only Gemma 4 26B A4B measured |
| LMArena Text: longer queries | Not measured | 1427 | Only Gemma 4 26B A4B measured |
| LMArena Text: writing and language | Not measured | 1405 | Only Gemma 4 26B A4B measured |
| LMArena Text: entertainment and media | Not measured | 1403 | Only Gemma 4 26B A4B measured |
| LMArena Vision: English | Not measured | 1256 | Only Gemma 4 26B A4B measured |
| LMArena Vision: Chinese | Not measured | 1312 | Only Gemma 4 26B A4B measured |
| LMArena Vision: reading text | Not measured | 1268 | Only Gemma 4 26B A4B measured |
| LMArena Vision: humor | Not measured | 1272 | Only Gemma 4 26B A4B measured |
| LMArena Vision: captioning | Not measured | 1297 | Only Gemma 4 26B A4B measured |
| LMArena Vision: recognizing things | Not measured | 1191 | Only Gemma 4 26B A4B measured |
| LMArena Vision: creative writing | Not measured | 1256 | Only Gemma 4 26B A4B measured |
| Neither model has a result on the other 19 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V3 0324 | Gemma 4 26B A4B | 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 26B A4B costs less
Repository review
50K input + 3K output tokens
Gemma 4 26B A4B costs less
Agent loop
200K input + 10K output tokens
Gemma 4 26B A4B 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 V3 0324 | Google Gemma 4 26B A4B |
|---|---|---|
| Maker | DeepSeek | |
| Weights | Open weights | Open weights |
| Released | March 24, 2025 | April 3, 2026 |
| Context window | 164K | 262K |
| Input $/Mtok | $0.27 | $0.15 |
| Output $/Mtok | $1.07 | $0.60 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V3 0324 better than Gemma 4 26B A4B for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick DeepSeek V3 0324 for work measured by AA Coding Index or SciCode, where it leads.
Which is cheaper, DeepSeek V3 0324 or Gemma 4 26B A4B?
DeepSeek V3 0324 costs $0.27 per million input tokens and $1.07 per million output tokens; Gemma 4 26B A4B costs $0.15 and $0.60. Cost per solved task is known for neither of them.
Which has the bigger context window, DeepSeek V3 0324 or Gemma 4 26B A4B?
Gemma 4 26B A4B, with 262K tokens against 164K.
How many benchmarks is the DeepSeek V3 0324 vs Gemma 4 26B A4B comparison based on?
15 benchmarks have a result for both models as of October 22, 2026. DeepSeek V3 0324's coding index rests on 0 independent benchmarks and Gemma 4 26B A4B's on 1. Where only one model has a result, the page says so instead of naming a winner.