DeepSeek V3 0324 vs Gemini 3.7 Flash
Updated October 21, 2026. 15 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
vs boards won of 15 shared
Decision reading
Pick Gemini 3.7 Flash for coding: it scores 69.9 on the Vibe Coding Index against 42.0 for DeepSeek V3 0324.
Pick DeepSeek V3 0324 when output tokens cost 3.3x less.
Model ADeepSeek V3 0324DeepSeek42.0/1001 independent benchmarkNo cost per solved taskModel BGemini 3.7 FlashGoogle69.9/1002 independent benchmarks$1.78 per solved task
- Shared results
- 15
- DeepSeek V3 0324 only
- 20
- Gemini 3.7 Flash only
- 97
- 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
Gemini 3.7 Flash
Gemini 3.7 Flash scores 69.9 against 42.0.
1 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
Gemini 3.7 Flash
Gemini 3.7 Flash leads, 39.6 against 9.7.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only DeepSeek V3 0324 has a AA Agentic Index result, 0.8.
Directional only
Reasoning
GPQA Diamond
Gemini 3.7 Flash
Gemini 3.7 Flash leads, 93.9% against 61.6%.
Same board, both measured
Math
AIME
No call
Only DeepSeek V3 0324 has a AIME result, 52.2%.
Directional only
Knowledge
MMLU Pro
Gemini 3.7 Flash
Gemini 3.7 Flash leads, 90.1% against 79.5%.
Same board, both measured
Web design
Design Arena: websites
No call
Only Gemini 3.7 Flash has a Design Arena: websites result, 1304.
Directional only
Long documents
Listed context window
Gemini 3.7 Flash
Gemini 3.7 Flash takes 1.05M tokens against 164K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V3 0324
DeepSeek V3 0324 $0.0009, Gemini 3.7 Flash $0.0026 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Gemini 3.7 Flash has the number, $1.78.
Directional only
At a glance
- Coding index
- DeepSeek V3 0324 42.0 from 1 benchmark, Gemini 3.7 Flash 69.9 from 2 benchmarks.
- Widest category
- Math, 59.4 points apart on average over 1 shared benchmark.
- Widest single gap
- OTIS Mock AIME: DeepSeek V3 0324 37.8% against Gemini 3.7 Flash 97.2%, 59.4 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V3 0324 $1.14 against Gemini 3.7 Flash $3.75 per million output tokens, 3.3x apart.
- Context window
- DeepSeek V3 0324 takes 164K tokens, Gemini 3.7 Flash 1.05M.
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 | Gemini 3.7 Flash | Ties |
|---|---|---|---|---|
| Coding | 0 | 3 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 0 | 4 | ||
| Math | 0 | 1 | ||
| Knowledge | 0 | 3 | ||
| General | 0 | 3 | ||
| All shared boards | 0 | 15 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index03
| Benchmark | DeepSeek V3 0324 | Gemini 3.7 Flash | Leader |
|---|---|---|---|
| SWE-bench Verified | 42.0% | Not measured | Only DeepSeek V3 0324 measured |
| LiveBench coding | Not measured | 80.5% | Only Gemini 3.7 Flash measured |
| LMArena WebDev | Not measured | 1591 | Only Gemini 3.7 Flash measured |
| AA Coding Index | 21.2 | 71.5 | Gemini 3.7 Flash |
| LiveCodeBench (Vals AI) | 65.5% | 88.7% | Gemini 3.7 Flash |
| SWE-bench Verified (Vals AI) | Not measured | 80.8% | Only Gemini 3.7 Flash measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 12.1% | Only Gemini 3.7 Flash measured |
| Vibe Code Bench (Vals AI) | Not measured | 70.4% | Only Gemini 3.7 Flash measured |
| Code migration (Vals AI) | Not measured | 34.8% | Only Gemini 3.7 Flash measured |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only Gemini 3.7 Flash measured |
| IOI (Vals AI) | Not measured | 67.8% | Only Gemini 3.7 Flash measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 77.5% | Only Gemini 3.7 Flash measured |
| SkillsBench (Vals AI) | Not measured | 65.9% | Only Gemini 3.7 Flash measured |
| CyberBench (Vals AI) | Not measured | 43.8% | Only Gemini 3.7 Flash measured |
| LiveCodeBench (Artificial Analysis run) | 40.5% | Not measured | Only DeepSeek V3 0324 measured |
| SciCode | 39.0% | 59.8% | Gemini 3.7 Flash |
| Terminal-Bench Hard (Artificial Analysis run) | 15.2% | Not measured | Only DeepSeek V3 0324 measured |
| FrontierCode | Not measured | 43.6% | Only Gemini 3.7 Flash measured |
| FrontierSWE | Not measured | 20.3% | Only Gemini 3.7 Flash measured |
| WeirdML | 36.1% | Not measured | Only DeepSeek V3 0324 measured |
| ALE-Bench | Not measured | 904.3 | Only Gemini 3.7 Flash measured |
| LMArena Text: coding | Not measured | 1499 | Only Gemini 3.7 Flash measured |
| LMArena Text: software and IT | Not measured | 1498 | Only Gemini 3.7 Flash measured |
| LMArena WebDev: React | Not measured | 1587 | Only Gemini 3.7 Flash measured |
| LMArena WebDev: HTML | Not measured | 1593 | Only Gemini 3.7 Flash measured |
| LMArena WebDev: from an image | Not measured | 1599 | Only Gemini 3.7 Flash measured |
| Neither model has a result on the other 12 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | DeepSeek V3 0324 | Gemini 3.7 Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | 9.7 | 39.6 | Gemini 3.7 Flash |
| Epoch Capabilities Index | Not measured | 158.0 | Only Gemini 3.7 Flash measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index21 boards, none shared
| Benchmark | DeepSeek V3 0324 | Gemini 3.7 Flash | Leader |
|---|---|---|---|
| AA Agentic Index | 0.8 | Not measured | Only DeepSeek V3 0324 measured |
| Design Arena: agents building web apps | Not measured | 1224 | Only Gemini 3.7 Flash measured |
| Design Arena: agents building full-stack apps | Not measured | 1208 | Only Gemini 3.7 Flash measured |
| Design Arena: agents building mobile apps | Not measured | 1230 | Only Gemini 3.7 Flash measured |
| Design Arena: agents building Android apps | Not measured | 1247 | Only Gemini 3.7 Flash measured |
| Design Arena: agents building Godot games | Not measured | 1264 | Only Gemini 3.7 Flash measured |
| Design Arena: agents building games | Not measured | 1235 | Only Gemini 3.7 Flash measured |
| Design Arena: spreadsheets | Not measured | 1028 | Only Gemini 3.7 Flash measured |
| LiveBench research | Not measured | 76.5% | Only Gemini 3.7 Flash measured |
| LiveBench browser | Not measured | 56.0% | Only Gemini 3.7 Flash measured |
| LiveBench long agentic | Not measured | 28.3% | Only Gemini 3.7 Flash measured |
| SREBench (Vals AI) | Not measured | 4.6% | Only Gemini 3.7 Flash measured |
| Finance Agent (Vals AI) | Not measured | 59.0% | Only Gemini 3.7 Flash measured |
| Tax Agent Bench (Vals AI) | Not measured | 22.8% | Only Gemini 3.7 Flash measured |
| Legal Research Bench (Vals AI) | Not measured | 34.6% | Only Gemini 3.7 Flash measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 71.3% | Only Gemini 3.7 Flash measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 7.1% | Only Gemini 3.7 Flash measured |
| τ²-Bench Telecom | 47.1% | Not measured | Only DeepSeek V3 0324 measured |
| APEX-Agents | Not measured | 67.8% | Only Gemini 3.7 Flash measured |
| METR time horizons | 49.6% | Not measured | Only DeepSeek V3 0324 measured |
| Remote Labor Index | Not measured | 5.0% | Only Gemini 3.7 Flash measured |
| Neither model has a result on the other 18 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | DeepSeek V3 0324 | Gemini 3.7 Flash | Leader |
|---|---|---|---|
| GPQA Diamond | 61.6% | 93.9% | Gemini 3.7 Flash |
| LiveBench reasoning | Not measured | 87.8% | Only Gemini 3.7 Flash measured |
| MMMU Pro (Vals AI) | Not measured | 89.0% | Only Gemini 3.7 Flash measured |
| GPQA Diamond (Artificial Analysis run) | 65.5% | 94.5% | Gemini 3.7 Flash |
| Humanity's Last Exam (Artificial Analysis run) | 4.7% | 47.9% | Gemini 3.7 Flash |
| GPQA Diamond (Epoch AI run) | 67.6% | 94.8% | Gemini 3.7 Flash |
| ARC-AGI | Not measured | 95.5% | Only Gemini 3.7 Flash measured |
| ARC-AGI-2 | Not measured | 84.6% | Only Gemini 3.7 Flash measured |
| SimpleBench | 27.2% | Not measured | Only DeepSeek V3 0324 measured |
| Chess puzzles | Not measured | 66.0% | Only Gemini 3.7 Flash measured |
| Mystery game puzzles | Not measured | 37.0% | Only Gemini 3.7 Flash measured |
| LMArena Text: hard prompts | Not measured | 1495 | Only Gemini 3.7 Flash measured |
| LMArena Text: expert | Not measured | 1512 | Only Gemini 3.7 Flash measured |
| LMArena Text: hard prompts in English | Not measured | 1487 | Only Gemini 3.7 Flash measured |
| LMArena Vision: diagrams | Not measured | 1329 | Only Gemini 3.7 Flash measured |
| LMArena Vision: homework | Not measured | 1320 | Only Gemini 3.7 Flash measured |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | DeepSeek V3 0324 | Gemini 3.7 Flash | 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% | 97.2% | Gemini 3.7 Flash |
| FrontierMath, tiers 1 to 3 | Not measured | 71.6% | Only Gemini 3.7 Flash measured |
| FrontierMath, tier 4 | Not measured | 36.6% | Only Gemini 3.7 Flash measured |
| ProofBench | Not measured | 58.0% | Only Gemini 3.7 Flash measured |
| MATH level 5 | 75.5% | Not measured | Only DeepSeek V3 0324 measured |
| LMArena Text: math | Not measured | 1511 | Only Gemini 3.7 Flash measured |
| LMArena Text: mathematical work | Not measured | 1502 | Only Gemini 3.7 Flash measured |
| Neither model has a result on the other 1 board here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | DeepSeek V3 0324 | Gemini 3.7 Flash | Leader |
|---|---|---|---|
| MMLU Pro | 79.5% | 90.1% | Gemini 3.7 Flash |
| LegalBench (Vals AI) | 77.7% | 87.3% | Gemini 3.7 Flash |
| CorpFin (Vals AI) | 54.7% | Not measured | Only DeepSeek V3 0324 measured |
| TaxEval (Vals AI) | 71.1% | 74.7% | Gemini 3.7 Flash |
| MortgageTax (Vals AI) | Not measured | 66.7% | Only Gemini 3.7 Flash measured |
| MedQA (Vals AI) | 82.0% | Not measured | Only DeepSeek V3 0324 measured |
| MedCode (Vals AI) | Not measured | 53.4% | Only Gemini 3.7 Flash measured |
| MMLU Pro (Artificial Analysis run) | 81.9% | Not measured | Only DeepSeek V3 0324 measured |
| SimpleQA Verified | Not measured | 69.2% | Only Gemini 3.7 Flash measured |
| LMArena Text: science | Not measured | 1511 | Only Gemini 3.7 Flash measured |
| LMArena Text: medicine and healthcare | Not measured | 1494 | Only Gemini 3.7 Flash measured |
| LMArena Text: legal and government | Not measured | 1496 | Only Gemini 3.7 Flash measured |
| LMArena Text: business and finance | Not measured | 1479 | Only Gemini 3.7 Flash measured |
| Neither model has a result on the other 4 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | DeepSeek V3 0324 | Gemini 3.7 Flash | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1304 | Only Gemini 3.7 Flash measured |
| Design Arena: UI components | Not measured | 1299 | Only Gemini 3.7 Flash measured |
| Design Arena: game dev | Not measured | 1318 | Only Gemini 3.7 Flash measured |
| Design Arena: data viz | Not measured | 1315 | Only Gemini 3.7 Flash measured |
| Design Arena: 3D | Not measured | 1308 | Only Gemini 3.7 Flash measured |
| Design Arena: all code categories | Not measured | 1308 | Only Gemini 3.7 Flash measured |
| Design Arena: SVG | Not measured | 1283 | Only Gemini 3.7 Flash measured |
| Design Arena: ASCII art | Not measured | 1276 | Only Gemini 3.7 Flash measured |
| LiveBench design | Not measured | 73.2% | Only Gemini 3.7 Flash measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | DeepSeek V3 0324 | Gemini 3.7 Flash | Leader |
|---|---|---|---|
| LiveBench data analysis | Not measured | 68.0% | Only Gemini 3.7 Flash measured |
| SAGE (Vals AI) | Not measured | 49.2% | Only Gemini 3.7 Flash measured |
| MedScribe (Vals AI) | Not measured | 83.9% | Only Gemini 3.7 Flash measured |
| IFBench | 41.0% | Not measured | Only DeepSeek V3 0324 measured |
| Long context reasoning (AA-LCR) | 40.7% | 83.0% | Gemini 3.7 Flash |
| DTBench | 64.8% | 96.8% | Gemini 3.7 Flash |
| LMCA | 15.5% | 50.4% | Gemini 3.7 Flash |
| Fiction.LiveBench | 50.0% | Not measured | Only DeepSeek V3 0324 measured |
| Creative writing (Lech Mazur) | 77.0% | Not measured | Only DeepSeek V3 0324 measured |
| Furniture assembly | Not measured | 26.7% | Only Gemini 3.7 Flash measured |
| LMArena Text | Not measured | 1489 | Only Gemini 3.7 Flash measured |
| LMArena Text: instruction following | Not measured | 1484 | Only Gemini 3.7 Flash measured |
| LMArena Text: creative writing | Not measured | 1488 | Only Gemini 3.7 Flash measured |
| LMArena Vision | Not measured | 1314 | Only Gemini 3.7 Flash measured |
| LMArena Text: English | Not measured | 1483 | Only Gemini 3.7 Flash measured |
| LMArena Text: non-English | Not measured | 1487 | Only Gemini 3.7 Flash measured |
| LMArena Text: Chinese | Not measured | 1552 | Only Gemini 3.7 Flash measured |
| LMArena Text: German | Not measured | 1506 | Only Gemini 3.7 Flash measured |
| LMArena Text: Japanese | Not measured | 1511 | Only Gemini 3.7 Flash measured |
| LMArena Text: Korean | Not measured | 1481 | Only Gemini 3.7 Flash measured |
| LMArena Text: French | Not measured | 1500 | Only Gemini 3.7 Flash measured |
| LMArena Text: Spanish | Not measured | 1495 | Only Gemini 3.7 Flash measured |
| LMArena Text: Russian | Not measured | 1515 | Only Gemini 3.7 Flash measured |
| LMArena Text: Polish | Not measured | 1503 | Only Gemini 3.7 Flash measured |
| LMArena Text: multi-turn | Not measured | 1485 | Only Gemini 3.7 Flash measured |
| LMArena Text: longer queries | Not measured | 1492 | Only Gemini 3.7 Flash measured |
| LMArena Text: writing and language | Not measured | 1491 | Only Gemini 3.7 Flash measured |
| LMArena Text: entertainment and media | Not measured | 1477 | Only Gemini 3.7 Flash measured |
| LMArena Vision: English | Not measured | 1309 | Only Gemini 3.7 Flash measured |
| LMArena Vision: Chinese | Not measured | 1394 | Only Gemini 3.7 Flash measured |
| LMArena Vision: reading text | Not measured | 1322 | Only Gemini 3.7 Flash measured |
| LMArena Vision: humor | Not measured | 1299 | Only Gemini 3.7 Flash measured |
| LMArena Vision: creative writing | Not measured | 1312 | Only Gemini 3.7 Flash measured |
| Neither model has a result on the other 13 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V3 0324 | Gemini 3.7 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
DeepSeek V3 0324$0.0009Fits in one request
Gemini 3.7 Flash$0.0026Fits in one request
DeepSeek V3 0324 costs less
Repository review
50K input + 3K output tokens
DeepSeek V3 0324$0.018Fits in one request
Gemini 3.7 Flash$0.049Fits in one request
DeepSeek V3 0324 costs less
Agent loop
200K input + 10K output tokens
DeepSeek V3 0324$0.069Exceeds the context window
Gemini 3.7 Flash$0.188Fits in one request
DeepSeek V3 0324 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 Gemini 3.7 Flash |
|---|---|---|
| Maker | DeepSeek | |
| Weights | Open weights | No public weights listed |
| Released | March 24, 2025 | August 13, 2026 |
| Context window | 164K | 1.05M |
| Input $/Mtok | $0.29 | $0.75 |
| Output $/Mtok | $1.14 | $3.75 |
| Coding index | 42.0 | 69.9 |
| Independent measurements behind it | 1 | 2 |
| Cost per solved task | Not computable | $1.78 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V3 0324 better than Gemini 3.7 Flash for coding?
Pick Gemini 3.7 Flash for coding: it scores 69.9 on the Vibe Coding Index against 42.0 for DeepSeek V3 0324. Pick DeepSeek V3 0324 when output tokens cost 3.3x less.
Which is cheaper, DeepSeek V3 0324 or Gemini 3.7 Flash?
DeepSeek V3 0324 costs $0.29 per million input tokens and $1.14 per million output tokens; Gemini 3.7 Flash costs $0.75 and $3.75. Cost per solved task is known for Gemini 3.7 Flash only.
Which has the bigger context window, DeepSeek V3 0324 or Gemini 3.7 Flash?
Gemini 3.7 Flash, with 1.05M tokens against 164K.
How many benchmarks is the DeepSeek V3 0324 vs Gemini 3.7 Flash comparison based on?
15 benchmarks have a result for both models as of October 21, 2026. DeepSeek V3 0324's coding index rests on 1 independent benchmark and Gemini 3.7 Flash's on 2. Where only one model has a result, the page says so instead of naming a winner.