DeepSeek V3 0324 vs Gemini 3.5 Flash Lite
Updated October 21, 2026. 18 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 V3 0324 for coding: it scores 42.0 on the Vibe Coding Index against 33.6 for Gemini 3.5 Flash Lite.
Pick Gemini 3.5 Flash Lite when the context window is larger, 1.05M against 164K tokens, or when what matters is AA Coding Index or LiveCodeBench (Vals AI), where it leads.
- Shared results
- 18
- DeepSeek V3 0324 only
- 17
- Gemini 3.5 Flash Lite only
- 65
- Like-for-like categories
- 7 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 V3 0324
DeepSeek V3 0324 scores 42.0 against 33.6.
One benchmark behind each score
Intelligence
AA Intelligence Index
Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite leads, 22.2 against 9.7.
Same board, both measured
Agentic work
AA Agentic Index
Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite leads, 14.3 against 0.8.
Same board, both measured
Reasoning
GPQA Diamond
Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite leads, 83.8% 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 3.5 Flash Lite
Gemini 3.5 Flash Lite leads, 85.8% against 79.5%.
Same board, both measured
Long documents
Listed context window
Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite 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 3.5 Flash Lite $0.0015 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Gemini 3.5 Flash Lite has the number, $0.41.
Directional only
At a glance
- Coding index
- DeepSeek V3 0324 42.0 from 1 benchmark, Gemini 3.5 Flash Lite 33.6 from 1 benchmark.
- Widest category
- Math, 33.3 points apart on average over 1 shared benchmark.
- Widest single gap
- Long context reasoning (AA-LCR): DeepSeek V3 0324 40.7% against Gemini 3.5 Flash Lite 76.0%, 35.3 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V3 0324 $1.14 against Gemini 3.5 Flash Lite $2.50 per million output tokens, 2.2x apart.
- Context window
- DeepSeek V3 0324 takes 164K tokens, Gemini 3.5 Flash Lite 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 3.5 Flash Lite | Ties |
|---|---|---|---|---|
| Coding | 0 | 4 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 0 | 4 | ||
| Math | 0 | 1 | ||
| Knowledge | 0 | 4 | ||
| General | 0 | 3 | ||
| All shared boards | 0 | 18 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index04
| Benchmark | DeepSeek V3 0324 | Gemini 3.5 Flash Lite | Leader |
|---|---|---|---|
| SWE-bench Verified | 42.0% | Not measured | Only DeepSeek V3 0324 measured |
| LMArena WebDev | Not measured | 1435 | Only Gemini 3.5 Flash Lite measured |
| AA Coding Index | 21.2 | 49.3 | Gemini 3.5 Flash Lite |
| LiveCodeBench (Vals AI) | 65.5% | 79.0% | Gemini 3.5 Flash Lite |
| SWE-bench Verified (Vals AI) | Not measured | 75.0% | Only Gemini 3.5 Flash Lite measured |
| Vibe Code Bench (Vals AI) | Not measured | 37.2% | Only Gemini 3.5 Flash Lite measured |
| Code migration (Vals AI) | Not measured | 6.2% | Only Gemini 3.5 Flash Lite measured |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only Gemini 3.5 Flash Lite measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 50.2% | Only Gemini 3.5 Flash Lite measured |
| CyberBench (Vals AI) | Not measured | 59.1% | Only Gemini 3.5 Flash Lite measured |
| LiveCodeBench (Artificial Analysis run) | 40.5% | Not measured | Only DeepSeek V3 0324 measured |
| SciCode | 39.0% | 41.3% | Gemini 3.5 Flash Lite |
| Terminal-Bench Hard (Artificial Analysis run) | 15.2% | Not measured | Only DeepSeek V3 0324 measured |
| WeirdML | 36.1% | 39.0% | Gemini 3.5 Flash Lite |
| ALE-Bench | Not measured | 765.3 | Only Gemini 3.5 Flash Lite measured |
| LMArena Text: coding | Not measured | 1453 | Only Gemini 3.5 Flash Lite measured |
| LMArena Text: software and IT | Not measured | 1451 | Only Gemini 3.5 Flash Lite measured |
| LMArena WebDev: React | Not measured | 1408 | Only Gemini 3.5 Flash Lite measured |
| LMArena WebDev: from an image | Not measured | 1448 | Only Gemini 3.5 Flash Lite measured |
| Neither model has a result on the other 19 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | DeepSeek V3 0324 | Gemini 3.5 Flash Lite | Leader |
|---|---|---|---|
| AA Intelligence Index | 9.7 | 22.2 | Gemini 3.5 Flash Lite |
| Epoch Capabilities Index | Not measured | 144.9 | Only Gemini 3.5 Flash Lite measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | DeepSeek V3 0324 | Gemini 3.5 Flash Lite | Leader |
|---|---|---|---|
| AA Agentic Index | 0.8 | 14.3 | Gemini 3.5 Flash Lite |
| Finance Agent (Vals AI) | Not measured | 47.4% | Only Gemini 3.5 Flash Lite measured |
| Tax Agent Bench (Vals AI) | Not measured | 7.2% | Only Gemini 3.5 Flash Lite measured |
| Legal Research Bench (Vals AI) | Not measured | 13.9% | Only Gemini 3.5 Flash Lite measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 43.2% | Only Gemini 3.5 Flash Lite measured |
| τ²-Bench Telecom | 47.1% | Not measured | Only DeepSeek V3 0324 measured |
| APEX-Agents | Not measured | 29.3% | Only Gemini 3.5 Flash Lite measured |
| METR time horizons | 49.6% | Not measured | Only DeepSeek V3 0324 measured |
| Neither model has a result on the other 31 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | DeepSeek V3 0324 | Gemini 3.5 Flash Lite | Leader |
|---|---|---|---|
| GPQA Diamond | 61.6% | 83.8% | Gemini 3.5 Flash Lite |
| MMMU Pro (Vals AI) | Not measured | 83.6% | Only Gemini 3.5 Flash Lite measured |
| GPQA Diamond (Artificial Analysis run) | 65.5% | 83.8% | Gemini 3.5 Flash Lite |
| Humanity's Last Exam (Artificial Analysis run) | 4.7% | 18.8% | Gemini 3.5 Flash Lite |
| GPQA Diamond (Epoch AI run) | 67.6% | 83.3% | Gemini 3.5 Flash Lite |
| ARC-AGI | Not measured | 53.5% | Only Gemini 3.5 Flash Lite measured |
| ARC-AGI-2 | Not measured | 10.3% | Only Gemini 3.5 Flash Lite measured |
| SimpleBench | 27.2% | Not measured | Only DeepSeek V3 0324 measured |
| Chess puzzles | Not measured | 21.0% | Only Gemini 3.5 Flash Lite measured |
| Mystery game puzzles | Not measured | 19.0% | Only Gemini 3.5 Flash Lite measured |
| LMArena Text: hard prompts | Not measured | 1441 | Only Gemini 3.5 Flash Lite measured |
| LMArena Text: expert | Not measured | 1434 | Only Gemini 3.5 Flash Lite measured |
| LMArena Text: hard prompts in English | Not measured | 1440 | Only Gemini 3.5 Flash Lite measured |
| LMArena Vision: diagrams | Not measured | 1284 | Only Gemini 3.5 Flash Lite measured |
| LMArena Vision: homework | Not measured | 1291 | Only Gemini 3.5 Flash Lite measured |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | DeepSeek V3 0324 | Gemini 3.5 Flash Lite | 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% | 71.1% | Gemini 3.5 Flash Lite |
| FrontierMath, tiers 1 to 3 | Not measured | 26.0% | Only Gemini 3.5 Flash Lite measured |
| FrontierMath, tier 4 | Not measured | 0.0% | Only Gemini 3.5 Flash Lite measured |
| ProofBench | Not measured | 13.0% | Only Gemini 3.5 Flash Lite measured |
| MATH level 5 | 75.5% | Not measured | Only DeepSeek V3 0324 measured |
| LMArena Text: math | Not measured | 1434 | Only Gemini 3.5 Flash Lite measured |
| LMArena Text: mathematical work | Not measured | 1433 | Only Gemini 3.5 Flash Lite measured |
| Neither model has a result on the other 1 board here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | DeepSeek V3 0324 | Gemini 3.5 Flash Lite | Leader |
|---|---|---|---|
| MMLU Pro | 79.5% | 85.8% | Gemini 3.5 Flash Lite |
| LegalBench (Vals AI) | 77.7% | 84.1% | Gemini 3.5 Flash Lite |
| CorpFin (Vals AI) | 54.7% | 60.7% | Gemini 3.5 Flash Lite |
| TaxEval (Vals AI) | 71.1% | 72.6% | Gemini 3.5 Flash Lite |
| MortgageTax (Vals AI) | Not measured | 68.7% | Only Gemini 3.5 Flash Lite measured |
| MedQA (Vals AI) | 82.0% | Not measured | Only DeepSeek V3 0324 measured |
| MedCode (Vals AI) | Not measured | 43.5% | Only Gemini 3.5 Flash Lite measured |
| MMLU Pro (Artificial Analysis run) | 81.9% | Not measured | Only DeepSeek V3 0324 measured |
| LMArena Text: science | Not measured | 1451 | Only Gemini 3.5 Flash Lite measured |
| LMArena Text: medicine and healthcare | Not measured | 1438 | Only Gemini 3.5 Flash Lite measured |
| LMArena Text: legal and government | Not measured | 1431 | Only Gemini 3.5 Flash Lite measured |
| LMArena Text: business and finance | Not measured | 1423 | Only Gemini 3.5 Flash Lite measured |
| Neither model has a result on the other 5 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V3 0324 | Gemini 3.5 Flash Lite | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | DeepSeek V3 0324 | Gemini 3.5 Flash Lite | Leader |
|---|---|---|---|
| Public Benefits Bench (Vals AI) | Not measured | 51.8% | Only Gemini 3.5 Flash Lite measured |
| SAGE (Vals AI) | Not measured | 47.3% | Only Gemini 3.5 Flash Lite measured |
| MedScribe (Vals AI) | Not measured | 70.9% | Only Gemini 3.5 Flash Lite measured |
| IFBench | 41.0% | Not measured | Only DeepSeek V3 0324 measured |
| Long context reasoning (AA-LCR) | 40.7% | 76.0% | Gemini 3.5 Flash Lite |
| DTBench | 64.8% | 83.5% | Gemini 3.5 Flash Lite |
| LMCA | 15.5% | 37.6% | Gemini 3.5 Flash Lite |
| 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 | 1435 | Only Gemini 3.5 Flash Lite measured |
| LMArena Text: instruction following | Not measured | 1419 | Only Gemini 3.5 Flash Lite measured |
| LMArena Text: creative writing | Not measured | 1421 | Only Gemini 3.5 Flash Lite measured |
| LMArena Vision | Not measured | 1269 | Only Gemini 3.5 Flash Lite measured |
| LMArena Text: English | Not measured | 1438 | Only Gemini 3.5 Flash Lite measured |
| LMArena Text: non-English | Not measured | 1427 | Only Gemini 3.5 Flash Lite measured |
| LMArena Text: Chinese | Not measured | 1468 | Only Gemini 3.5 Flash Lite measured |
| LMArena Text: German | Not measured | 1454 | Only Gemini 3.5 Flash Lite measured |
| LMArena Text: Japanese | Not measured | 1426 | Only Gemini 3.5 Flash Lite measured |
| LMArena Text: Korean | Not measured | 1407 | Only Gemini 3.5 Flash Lite measured |
| LMArena Text: French | Not measured | 1451 | Only Gemini 3.5 Flash Lite measured |
| LMArena Text: Spanish | Not measured | 1441 | Only Gemini 3.5 Flash Lite measured |
| LMArena Text: Russian | Not measured | 1443 | Only Gemini 3.5 Flash Lite measured |
| LMArena Text: Polish | Not measured | 1437 | Only Gemini 3.5 Flash Lite measured |
| LMArena Text: multi-turn | Not measured | 1445 | Only Gemini 3.5 Flash Lite measured |
| LMArena Text: longer queries | Not measured | 1435 | Only Gemini 3.5 Flash Lite measured |
| LMArena Text: writing and language | Not measured | 1428 | Only Gemini 3.5 Flash Lite measured |
| LMArena Text: entertainment and media | Not measured | 1414 | Only Gemini 3.5 Flash Lite measured |
| LMArena Vision: English | Not measured | 1269 | Only Gemini 3.5 Flash Lite measured |
| LMArena Vision: Chinese | Not measured | 1311 | Only Gemini 3.5 Flash Lite measured |
| LMArena Vision: reading text | Not measured | 1280 | Only Gemini 3.5 Flash Lite measured |
| LMArena Vision: humor | Not measured | 1287 | Only Gemini 3.5 Flash Lite measured |
| LMArena Vision: creative writing | Not measured | 1260 | Only Gemini 3.5 Flash Lite 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 V3 0324 | Gemini 3.5 Flash Lite | 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 costs less
Repository review
50K input + 3K output tokens
DeepSeek V3 0324 costs less
Agent loop
200K input + 10K output tokens
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 3.5 Flash Lite |
|---|---|---|
| Maker | DeepSeek | |
| Weights | Open weights | No public weights listed |
| Released | March 24, 2025 | July 21, 2026 |
| Context window | 164K | 1.05M |
| Input $/Mtok | $0.29 | $0.30 |
| Output $/Mtok | $1.14 | $2.50 |
| Coding index | 42.0 | 33.6 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | Not computable | $0.41 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V3 0324 better than Gemini 3.5 Flash Lite for coding?
Pick DeepSeek V3 0324 for coding: it scores 42.0 on the Vibe Coding Index against 33.6 for Gemini 3.5 Flash Lite. Pick Gemini 3.5 Flash Lite when the context window is larger, 1.05M against 164K tokens, or when what matters is AA Coding Index or LiveCodeBench (Vals AI), where it leads.
Which is cheaper, DeepSeek V3 0324 or Gemini 3.5 Flash Lite?
DeepSeek V3 0324 costs $0.29 per million input tokens and $1.14 per million output tokens; Gemini 3.5 Flash Lite costs $0.30 and $2.50. Cost per solved task is known for Gemini 3.5 Flash Lite only.
Which has the bigger context window, DeepSeek V3 0324 or Gemini 3.5 Flash Lite?
Gemini 3.5 Flash Lite, with 1.05M tokens against 164K.
How many benchmarks is the DeepSeek V3 0324 vs Gemini 3.5 Flash Lite comparison based on?
18 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 3.5 Flash Lite's on 1. Where only one model has a result, the page says so instead of naming a winner.