DeepSeek V3.2 Exp vs Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite leads DeepSeek V3.2 Exp on the Artificial Analysis Intelligence Index, 22.2 to 16.6, and DeepSeek V3.2 Exp costs 6.1x less per output token ($0.41 vs $2.50 per million). Updated October 21, 2026; 37 benchmarks have a result for both.
DeepSeek V3.2 Exp or Gemini 3.5 Flash Lite: which to pick
Only Gemini 3.5 Flash Lite has a coding score, 49.0 on the Vibe Coding Index; DeepSeek V3.2 Exp has none, so the two cannot be ranked on coding.
Pick DeepSeek V3.2 Exp for output tokens 6.1x cheaper ($0.41 vs $2.50 per million) and work measured by WeirdML or LMArena Text: hard prompts in English, where it leads.
- Shared results
- 37
- DeepSeek V3.2 Exp only
- 22
- Gemini 3.5 Flash Lite only
- 48
- 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
Only Gemini 3.5 Flash Lite has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite leads, 22.2 against 16.6.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Gemini 3.5 Flash Lite has a AA Agentic Index result, 14.3.
Directional only
Reasoning
GPQA Diamond
No call
Only Gemini 3.5 Flash Lite has a GPQA Diamond result, 83.8%.
Directional only
Knowledge
MMLU Pro
No call
Only Gemini 3.5 Flash Lite has a MMLU Pro result, 85.8%.
Directional only
Web design
Design Arena: websites
No call
Only DeepSeek V3.2 Exp has a Design Arena: websites result, 1179.
Directional only
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 V3.2 Exp
DeepSeek V3.2 Exp $0.0005, 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 V3.2 Exp not benchmarked, Gemini 3.5 Flash Lite 49.0 from 3 benchmarks.
- Widest category
- Coding, 7.1 points apart on average over 4 shared benchmarks.
- Widest single gap
- LMArena WebDev: DeepSeek V3.2 Exp 1272 against Gemini 3.5 Flash Lite 1435, 23.3 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V3.2 Exp $0.41 against Gemini 3.5 Flash Lite $2.50 per million output tokens, 6.1x apart.
- Context window
- DeepSeek V3.2 Exp 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 V3.2 Exp | Bars | Gemini 3.5 Flash Lite | Ties |
|---|---|---|---|---|
| Coding | 1 | 3 | ||
| Intelligence | 0 | 1 | 1 tie | |
| Reasoning | 1 | 4 | ||
| Math | 0 | 2 | ||
| Knowledge | 1 | 3 | ||
| General | 3 | 17 | ||
| All shared boards | 6 | 30 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index13
| Benchmark | DeepSeek V3.2 Exp | Gemini 3.5 Flash Lite | Leader |
|---|---|---|---|
| Aider polyglot | 74.2% | Not measured | Only DeepSeek V3.2 Exp measured |
| LMArena WebDev | 1272 | 1435 | Gemini 3.5 Flash Lite |
| AA Coding Index | Not measured | 49.3 | Only Gemini 3.5 Flash Lite measured |
| LiveCodeBench (Vals AI) | Not measured | 79.0% | Only Gemini 3.5 Flash Lite measured |
| 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) | 78.9% | Not measured | Only DeepSeek V3.2 Exp measured |
| SciCode | Not measured | 41.3% | Only Gemini 3.5 Flash Lite measured |
| Terminal-Bench Hard (Artificial Analysis run) | 31.1% | Not measured | Only DeepSeek V3.2 Exp measured |
| WeirdML | 39.5% | 39.0% | DeepSeek V3.2 Exp |
| ALE-Bench | Not measured | 765.3 | Only Gemini 3.5 Flash Lite measured |
| LMArena Text: coding | 1438 | 1453 | Gemini 3.5 Flash Lite |
| LMArena Text: software and IT | 1438 | 1451 | Gemini 3.5 Flash Lite |
| LMArena WebDev: React | Not measured | 1408 | Only Gemini 3.5 Flash Lite measured |
| LMArena WebDev: HTML | 1281 | Not measured | Only DeepSeek V3.2 Exp measured |
| LMArena WebDev: from an image | Not measured | 1448 | Only Gemini 3.5 Flash Lite measured |
| SciCode | Not measured | 6.2% | Only Gemini 3.5 Flash Lite measured |
| Neither model has a result on the other 18 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | DeepSeek V3.2 Exp | Gemini 3.5 Flash Lite | Leader |
|---|---|---|---|
| AA Intelligence Index | 16.6 | 22.2 | Gemini 3.5 Flash Lite |
| Epoch Capabilities Index | 144.9 | 144.9 | Tie |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | DeepSeek V3.2 Exp | Gemini 3.5 Flash Lite | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 14.3 | Only Gemini 3.5 Flash Lite measured |
| 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 | 33.9% | Not measured | Only DeepSeek V3.2 Exp measured |
| APEX-Agents | Not measured | 29.3% | Only Gemini 3.5 Flash Lite measured |
| TheAgentCompany | 42.9% | Not measured | Only DeepSeek V3.2 Exp measured |
| Berkeley Function Calling Leaderboard (BFCL) | 56.7% | Not measured | Only DeepSeek V3.2 Exp measured |
| Neither model has a result on the other 32 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index14
| Benchmark | DeepSeek V3.2 Exp | Gemini 3.5 Flash Lite | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 83.8% | Only Gemini 3.5 Flash Lite measured |
| MMMU Pro (Vals AI) | Not measured | 83.6% | Only Gemini 3.5 Flash Lite measured |
| GPQA Diamond (Artificial Analysis run) | 79.7% | 83.8% | Gemini 3.5 Flash Lite |
| Humanity's Last Exam (Artificial Analysis run) | 14.9% | 18.8% | Gemini 3.5 Flash Lite |
| GPQA Diamond (Epoch AI run) | Not measured | 83.3% | Only Gemini 3.5 Flash Lite measured |
| 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 |
| 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 | 1429 | 1441 | Gemini 3.5 Flash Lite |
| LMArena Text: expert | 1422 | 1434 | Gemini 3.5 Flash Lite |
| LMArena Text: hard prompts in English | 1444 | 1440 | DeepSeek V3.2 Exp |
| 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 |
| Kagi LLM Benchmark | 52.2% | Not measured | Only DeepSeek V3.2 Exp measured |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | DeepSeek V3.2 Exp | Gemini 3.5 Flash Lite | Leader |
|---|---|---|---|
| AA Math Index | 87.7 | Not measured | Only DeepSeek V3.2 Exp measured |
| AIME 2025 (Artificial Analysis run) | 87.7% | Not measured | Only DeepSeek V3.2 Exp measured |
| OTIS Mock AIME | Not measured | 71.1% | Only Gemini 3.5 Flash Lite measured |
| 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 |
| LMArena Text: math | 1422 | 1434 | Gemini 3.5 Flash Lite |
| LMArena Text: mathematical work | 1433 | 1433 | Gemini 3.5 Flash Lite |
| Neither model has a result on the other 5 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index13
| Benchmark | DeepSeek V3.2 Exp | Gemini 3.5 Flash Lite | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 85.8% | Only Gemini 3.5 Flash Lite measured |
| LegalBench (Vals AI) | Not measured | 84.1% | Only Gemini 3.5 Flash Lite measured |
| CorpFin (Vals AI) | Not measured | 60.7% | Only Gemini 3.5 Flash Lite measured |
| TaxEval (Vals AI) | Not measured | 72.6% | Only Gemini 3.5 Flash Lite measured |
| MortgageTax (Vals AI) | Not measured | 68.7% | Only Gemini 3.5 Flash Lite measured |
| MedCode (Vals AI) | Not measured | 43.5% | Only Gemini 3.5 Flash Lite measured |
| MMLU Pro (Artificial Analysis run) | 85.0% | Not measured | Only DeepSeek V3.2 Exp measured |
| LMArena Text: science | 1443 | 1451 | Gemini 3.5 Flash Lite |
| LMArena Text: medicine and healthcare | 1468 | 1438 | DeepSeek V3.2 Exp |
| LMArena Text: legal and government | 1419 | 1431 | Gemini 3.5 Flash Lite |
| LMArena Text: business and finance | 1412 | 1423 | Gemini 3.5 Flash Lite |
| FACTS Benchmark Suite | Not measured | 53.5% | Only Gemini 3.5 Flash Lite measured |
| Neither model has a result on the other 6 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | DeepSeek V3.2 Exp | Gemini 3.5 Flash Lite | Leader |
|---|---|---|---|
| Design Arena: websites | 1179 | Not measured | Only DeepSeek V3.2 Exp measured |
| Design Arena: UI components | 1167 | Not measured | Only DeepSeek V3.2 Exp measured |
| Design Arena: game dev | 1144 | Not measured | Only DeepSeek V3.2 Exp measured |
| Design Arena: data viz | 1152 | Not measured | Only DeepSeek V3.2 Exp measured |
| Design Arena: 3D | 1148 | Not measured | Only DeepSeek V3.2 Exp measured |
| Design Arena: all code categories | 1171 | Not measured | Only DeepSeek V3.2 Exp measured |
| Design Arena: SVG | 1032 | Not measured | Only DeepSeek V3.2 Exp measured |
| Neither model has a result on the other 2 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index317
| Benchmark | DeepSeek V3.2 Exp | 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 | 54.1% | Not measured | Only DeepSeek V3.2 Exp measured |
| Long context reasoning (AA-LCR) | 72.3% | 76.0% | Gemini 3.5 Flash Lite |
| DTBench | 87.7% | 83.5% | DeepSeek V3.2 Exp |
| LMCA | 29.1% | 37.6% | Gemini 3.5 Flash Lite |
| Fiction.LiveBench | 83.3% | Not measured | Only DeepSeek V3.2 Exp measured |
| CL-bench | 13.2% | Not measured | Only DeepSeek V3.2 Exp measured |
| CL-bench Life | 9.5% | Not measured | Only DeepSeek V3.2 Exp measured |
| LMArena Text | 1425 | 1435 | Gemini 3.5 Flash Lite |
| LMArena Text: instruction following | 1401 | 1419 | Gemini 3.5 Flash Lite |
| LMArena Text: creative writing | 1404 | 1421 | Gemini 3.5 Flash Lite |
| LMArena Vision | Not measured | 1269 | Only Gemini 3.5 Flash Lite measured |
| LMArena Text: English | 1441 | 1438 | DeepSeek V3.2 Exp |
| LMArena Text: non-English | 1404 | 1427 | Gemini 3.5 Flash Lite |
| LMArena Text: Chinese | 1461 | 1468 | Gemini 3.5 Flash Lite |
| LMArena Text: German | 1440 | 1454 | Gemini 3.5 Flash Lite |
| LMArena Text: Japanese | 1331 | 1426 | Gemini 3.5 Flash Lite |
| LMArena Text: Korean | 1372 | 1407 | Gemini 3.5 Flash Lite |
| LMArena Text: French | 1434 | 1451 | Gemini 3.5 Flash Lite |
| LMArena Text: Spanish | 1441 | 1441 | DeepSeek V3.2 Exp |
| LMArena Text: Russian | 1412 | 1443 | Gemini 3.5 Flash Lite |
| LMArena Text: Polish | 1435 | 1437 | Gemini 3.5 Flash Lite |
| LMArena Text: multi-turn | 1422 | 1445 | Gemini 3.5 Flash Lite |
| LMArena Text: longer queries | 1418 | 1435 | Gemini 3.5 Flash Lite |
| LMArena Text: writing and language | 1407 | 1428 | Gemini 3.5 Flash Lite |
| LMArena Text: entertainment and media | 1407 | 1414 | Gemini 3.5 Flash Lite |
| 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 13 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V3.2 Exp | 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 V3.2 Exp costs less
Repository review
50K input + 3K output tokens
DeepSeek V3.2 Exp costs less
Agent loop
200K input + 10K output tokens
DeepSeek V3.2 Exp 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 V3.2 Exp | Google Gemini 3.5 Flash Lite |
|---|---|---|
| Maker | DeepSeek | |
| Weights | Open weights | No public weights listed |
| Released | September 29, 2025 | July 21, 2026 |
| Context window | 164K | 1.05M |
| Input $/Mtok | $0.27 | $0.30 |
| Output $/Mtok | $0.41 | $2.50 |
| Coding index | Not benchmarked | 49.0 |
| Independent measurements behind it | 1 | 3 |
| Cost per solved task | Not computable | $0.41 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V3.2 Exp better than Gemini 3.5 Flash Lite for coding?
Only Gemini 3.5 Flash Lite has a coding score, 49.0 on the Vibe Coding Index; DeepSeek V3.2 Exp has none, so the two cannot be ranked on coding. Pick DeepSeek V3.2 Exp for output tokens 6.1x cheaper ($0.41 vs $2.50 per million) and work measured by WeirdML or LMArena Text: hard prompts in English, where it leads.
Which is cheaper, DeepSeek V3.2 Exp or Gemini 3.5 Flash Lite?
DeepSeek V3.2 Exp costs $0.27 per million input tokens and $0.41 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 V3.2 Exp or Gemini 3.5 Flash Lite?
Gemini 3.5 Flash Lite, with 1.05M tokens against 164K.
How many benchmarks is the DeepSeek V3.2 Exp vs Gemini 3.5 Flash Lite comparison based on?
37 benchmarks have a result for both models as of October 21, 2026. DeepSeek V3.2 Exp's coding index rests on 1 independent benchmark and Gemini 3.5 Flash Lite's on 3. Where only one model has a result, the page says so instead of naming a winner.