DeepSeek V3 0324 vs Gemini 2.5 Flash Lite
Gemini 2.5 Flash Lite leads DeepSeek V3 0324 on the Artificial Analysis Intelligence Index, 10.4 to 9.7, and Gemini 2.5 Flash Lite costs 2.7x less per output token ($0.40 vs $1.07 per million). Updated October 22, 2026; 22 benchmarks have a result for both.
DeepSeek V3 0324 or Gemini 2.5 Flash Lite: 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 LiveCodeBench (Vals AI) or LiveCodeBench (Artificial Analysis run), where it leads.
- Shared results
- 22
- DeepSeek V3 0324 only
- 13
- Gemini 2.5 Flash Lite only
- 8
- Like-for-like categories
- 7 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
Gemini 2.5 Flash Lite
Gemini 2.5 Flash Lite leads, 10.4 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 2.5 Flash Lite
Gemini 2.5 Flash Lite leads, 70.2% against 61.6%.
Same board, both measured
Math
AIME
DeepSeek V3 0324
DeepSeek V3 0324 leads, 52.2% against 42.1%.
Same board, both measured
Knowledge
MMLU Pro
DeepSeek V3 0324
DeepSeek V3 0324 leads, 79.5% against 79.1%.
Same board, both measured
Long documents
Listed context window
Gemini 2.5 Flash Lite
Gemini 2.5 Flash Lite takes 1.05M tokens against 164K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemini 2.5 Flash Lite
DeepSeek V3 0324 $0.0008, Gemini 2.5 Flash Lite $0.0003 per turn.
List prices
At a glance
- Coding index
- DeepSeek V3 0324 not benchmarked, Gemini 2.5 Flash Lite not benchmarked.
- Widest category
- Agentic work, 28.1 points apart on average over 1 shared benchmark.
- Widest single gap
- τ²-Bench Telecom: DeepSeek V3 0324 47.1% against Gemini 2.5 Flash Lite 19.0%, 28.1 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V3 0324 $1.07 against Gemini 2.5 Flash Lite $0.40 per million output tokens, 2.7x apart.
- Context window
- DeepSeek V3 0324 takes 164K tokens, Gemini 2.5 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 2.5 Flash Lite | Ties |
|---|---|---|---|---|
| Coding | 1 | 2 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 1 | 2 | ||
| Math | 2 | 2 | ||
| Knowledge | 3 | 3 | ||
| General | 1 | 3 | ||
| All shared boards | 9 | 13 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index12
| Benchmark | DeepSeek V3 0324 | Gemini 2.5 Flash Lite | Leader |
|---|---|---|---|
| SWE-bench Verified | 42.0% | Not measured | Only DeepSeek V3 0324 measured |
| AA Coding Index | 21.2 | Not measured | Only DeepSeek V3 0324 measured |
| LiveCodeBench (Vals AI) | 65.5% | 71.4% | Gemini 2.5 Flash Lite |
| LiveCodeBench (Artificial Analysis run) | 40.5% | 59.3% | Gemini 2.5 Flash Lite |
| SciCode | 39.0% | Not measured | Only DeepSeek V3 0324 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 15.2% | 4.5% | DeepSeek V3 0324 |
| WeirdML | 36.1% | Not measured | Only DeepSeek V3 0324 measured |
| Neither model has a result on the other 32 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | DeepSeek V3 0324 | Gemini 2.5 Flash Lite | Leader |
|---|---|---|---|
| AA Intelligence Index | 9.7 | 10.4 | Gemini 2.5 Flash Lite |
| Epoch Capabilities Index | Not measured | 133.8 | Only Gemini 2.5 Flash Lite measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | DeepSeek V3 0324 | Gemini 2.5 Flash Lite | Leader |
|---|---|---|---|
| AA Agentic Index | 0.8 | Not measured | Only DeepSeek V3 0324 measured |
| τ²-Bench Telecom | 47.1% | 19.0% | DeepSeek V3 0324 |
| METR time horizons | 49.6% | Not measured | Only DeepSeek V3 0324 measured |
| Berkeley Function Calling Leaderboard (BFCL) | Not measured | 36.9% | Only Gemini 2.5 Flash Lite measured |
| Neither model has a result on the other 37 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index12
| Benchmark | DeepSeek V3 0324 | Gemini 2.5 Flash Lite | Leader |
|---|---|---|---|
| GPQA Diamond | 61.6% | 70.2% | Gemini 2.5 Flash Lite |
| MMMU Pro (Vals AI) | Not measured | 75.4% | Only Gemini 2.5 Flash Lite measured |
| GPQA Diamond (Artificial Analysis run) | 65.5% | 62.5% | DeepSeek V3 0324 |
| Humanity's Last Exam (Artificial Analysis run) | 4.7% | 6.8% | Gemini 2.5 Flash Lite |
| GPQA Diamond (Epoch AI run) | 67.6% | Not measured | Only DeepSeek V3 0324 measured |
| SimpleBench | 27.2% | Not measured | Only DeepSeek V3 0324 measured |
| Kagi LLM Benchmark | Not measured | 40.5% | Only Gemini 2.5 Flash Lite measured |
| Neither model has a result on the other 15 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index22
| Benchmark | DeepSeek V3 0324 | Gemini 2.5 Flash Lite | Leader |
|---|---|---|---|
| AIME | 52.2% | 42.1% | DeepSeek V3 0324 |
| MATH 500 (Vals AI) | 88.6% | Not measured | Only DeepSeek V3 0324 measured |
| MGSM (Vals AI) | 91.7% | 89.5% | DeepSeek V3 0324 |
| AA Math Index | 41.0 | 53.3 | Gemini 2.5 Flash Lite |
| AIME 2025 (Artificial Analysis run) | 41.0% | 53.3% | Gemini 2.5 Flash Lite |
| OTIS Mock AIME | 37.8% | Not measured | Only DeepSeek V3 0324 measured |
| MATH level 5 | 75.5% | Not measured | Only DeepSeek V3 0324 measured |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index33
| Benchmark | DeepSeek V3 0324 | Gemini 2.5 Flash Lite | Leader |
|---|---|---|---|
| MMLU Pro | 79.5% | 79.1% | DeepSeek V3 0324 |
| LegalBench (Vals AI) | 77.7% | 82.0% | Gemini 2.5 Flash Lite |
| CorpFin (Vals AI) | 54.7% | 57.6% | Gemini 2.5 Flash Lite |
| TaxEval (Vals AI) | 71.1% | 66.2% | DeepSeek V3 0324 |
| MortgageTax (Vals AI) | Not measured | 57.6% | Only Gemini 2.5 Flash Lite measured |
| MedQA (Vals AI) | 82.0% | 88.9% | Gemini 2.5 Flash Lite |
| MedCode (Vals AI) | Not measured | 34.2% | Only Gemini 2.5 Flash Lite measured |
| MMLU Pro (Artificial Analysis run) | 81.9% | 75.9% | DeepSeek V3 0324 |
| Neither model has a result on the other 10 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V3 0324 | Gemini 2.5 Flash Lite | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index13
| Benchmark | DeepSeek V3 0324 | Gemini 2.5 Flash Lite | Leader |
|---|---|---|---|
| SAGE (Vals AI) | Not measured | 30.8% | Only Gemini 2.5 Flash Lite measured |
| MedScribe (Vals AI) | Not measured | 75.8% | Only Gemini 2.5 Flash Lite measured |
| IFBench | 41.0% | 49.9% | Gemini 2.5 Flash Lite |
| Long context reasoning (AA-LCR) | 40.7% | 55.7% | Gemini 2.5 Flash Lite |
| DTBench | 64.8% | 62.8% | DeepSeek V3 0324 |
| LMCA | 15.5% | 18.1% | Gemini 2.5 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 |
| Neither model has a result on the other 38 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V3 0324 | Gemini 2.5 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
Gemini 2.5 Flash Lite costs less
Repository review
50K input + 3K output tokens
Gemini 2.5 Flash Lite costs less
Agent loop
200K input + 10K output tokens
Gemini 2.5 Flash Lite 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 2.5 Flash Lite |
|---|---|---|
| Maker | DeepSeek | |
| Weights | Open weights | No public weights listed |
| Released | March 24, 2025 | July 22, 2025 |
| Context window | 164K | 1.05M |
| Input $/Mtok | $0.27 | $0.10 |
| Output $/Mtok | $1.07 | $0.40 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V3 0324 better than Gemini 2.5 Flash Lite 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 LiveCodeBench (Vals AI) or LiveCodeBench (Artificial Analysis run), where it leads.
Which is cheaper, DeepSeek V3 0324 or Gemini 2.5 Flash Lite?
DeepSeek V3 0324 costs $0.27 per million input tokens and $1.07 per million output tokens; Gemini 2.5 Flash Lite costs $0.10 and $0.40. Cost per solved task is known for neither of them.
Which has the bigger context window, DeepSeek V3 0324 or Gemini 2.5 Flash Lite?
Gemini 2.5 Flash Lite, with 1.05M tokens against 164K.
How many benchmarks is the DeepSeek V3 0324 vs Gemini 2.5 Flash Lite comparison based on?
22 benchmarks have a result for both models as of October 22, 2026. DeepSeek V3 0324's coding index rests on 0 independent benchmarks and Gemini 2.5 Flash Lite's on 0. Where only one model has a result, the page says so instead of naming a winner.