DeepSeek V4.1 Flash 1017 vs Gemini 2.5 Flash Lite
DeepSeek V4.1 Flash 1017 leads Gemini 2.5 Flash Lite on the Artificial Analysis Intelligence Index, 39.5 to 10.4, and Gemini 2.5 Flash Lite costs 1.5x less per output token ($0.40 vs $0.60 per million). Updated October 21, 2026; 3 benchmarks have a result for both.
DeepSeek V4.1 Flash 1017 or Gemini 2.5 Flash Lite: which to pick
Only DeepSeek V4.1 Flash 1017 has a coding score, 70.3 on the Vibe Coding Index; Gemini 2.5 Flash Lite has none, so the two cannot be ranked on coding.
Pick Gemini 2.5 Flash Lite for output tokens 1.5x cheaper ($0.40 vs $0.60 per million).
- Shared results
- 3
- DeepSeek V4.1 Flash 1017 only
- 36
- Gemini 2.5 Flash Lite only
- 27
- Like-for-like categories
- 3 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 DeepSeek V4.1 Flash 1017 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
DeepSeek V4.1 Flash 1017
DeepSeek V4.1 Flash 1017 leads, 39.5 against 10.4.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Gemini 2.5 Flash Lite has a GPQA Diamond result, 70.2%.
Directional only
Math
AIME
No call
Only Gemini 2.5 Flash Lite has a AIME result, 42.1%.
Directional only
Knowledge
MMLU Pro
No call
Only Gemini 2.5 Flash Lite has a MMLU Pro result, 79.1%.
Directional only
Web design
Design Arena: websites
No call
Only DeepSeek V4.1 Flash 1017 has a Design Arena: websites result, 1312.
Directional only
General
Vals Index
No call
Only DeepSeek V4.1 Flash 1017 has a Vals Index result, 61.3%.
Directional only
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemini 2.5 Flash Lite
DeepSeek V4.1 Flash 1017 $0.0004, Gemini 2.5 Flash Lite $0.0003 per turn.
List prices
At a glance
- Coding index
- DeepSeek V4.1 Flash 1017 70.3 from 4 benchmarks, Gemini 2.5 Flash Lite not benchmarked.
- Widest category
- Reasoning, 36.5 points apart on average over 1 shared benchmark.
- Widest single gap
- Humanity's Last Exam (Artificial Analysis run): DeepSeek V4.1 Flash 1017 43.3% against Gemini 2.5 Flash Lite 6.8%, 36.5 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V4.1 Flash 1017 $0.60 against Gemini 2.5 Flash Lite $0.40 per million output tokens, 1.5x apart.
- Context window
- Both take 1.05M tokens.
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 V4.1 Flash 1017 | Bars | Gemini 2.5 Flash Lite | Ties |
|---|---|---|---|---|
| Intelligence | 1 | 0 | ||
| Reasoning | 1 | 0 | ||
| General | 1 | 0 | ||
| All shared boards | 3 | 0 |
CodingDirectional onlySix of these boards feed the Vibe Coding Index12 boards, none shared
| Benchmark | DeepSeek V4.1 Flash 1017 | Gemini 2.5 Flash Lite | Leader |
|---|---|---|---|
| LiveBench coding | 96.0% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| LMArena WebDev | 1664 | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| LiveCodeBench (Vals AI) | Not measured | 71.4% | Only Gemini 2.5 Flash Lite measured |
| Terminal-Bench 4 (Vals AI) | 31.8% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Vibe Code Bench (Vals AI) | 87.7% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Code migration (Vals AI) | 44.2% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 59.3% | Only Gemini 2.5 Flash Lite measured |
| SciCode | 55.9% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 4.5% | Only Gemini 2.5 Flash Lite measured |
| ALE-Bench | 1622.0 | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| LMArena WebDev: React | 1667 | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| LMArena WebDev: HTML | 1687 | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Neither model has a result on the other 27 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | DeepSeek V4.1 Flash 1017 | Gemini 2.5 Flash Lite | Leader |
|---|---|---|---|
| AA Intelligence Index | 39.5 | 10.4 | DeepSeek V4.1 Flash 1017 |
| Epoch Capabilities Index | Not measured | 133.8 | Only Gemini 2.5 Flash Lite measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
| Benchmark | DeepSeek V4.1 Flash 1017 | Gemini 2.5 Flash Lite | Leader |
|---|---|---|---|
| Design Arena: spreadsheets | 1230 | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| LiveBench research | 79.5% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| LiveBench browser | 76.0% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| LiveBench long agentic | 50.9% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Finance Agent (Vals AI) | 57.0% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Tax Agent Bench (Vals AI) | 44.4% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Legal Research Bench (Vals AI) | 45.2% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Harvey's Legal Agent Benchmark (Vals AI) | 14.2% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Excel Modeling Benchmark (Vals AI) | 61.8% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| τ²-Bench Telecom | Not measured | 19.0% | Only Gemini 2.5 Flash Lite 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 30 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | DeepSeek V4.1 Flash 1017 | Gemini 2.5 Flash Lite | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 70.2% | Only Gemini 2.5 Flash Lite measured |
| LiveBench reasoning | 89.1% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| MMMU Pro (Vals AI) | Not measured | 75.4% | Only Gemini 2.5 Flash Lite measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 62.5% | Only Gemini 2.5 Flash Lite measured |
| Humanity's Last Exam (Artificial Analysis run) | 43.3% | 6.8% | DeepSeek V4.1 Flash 1017 |
| GPQA Diamond (Epoch AI run) | 93.2% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Chess puzzles | 46.0% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Mystery game puzzles | 49.0% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Kagi LLM Benchmark | Not measured | 40.5% | Only Gemini 2.5 Flash Lite measured |
| Neither model has a result on the other 13 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | DeepSeek V4.1 Flash 1017 | Gemini 2.5 Flash Lite | Leader |
|---|---|---|---|
| AIME | Not measured | 42.1% | Only Gemini 2.5 Flash Lite measured |
| MGSM (Vals AI) | Not measured | 89.5% | Only Gemini 2.5 Flash Lite measured |
| AA Math Index | Not measured | 53.3 | Only Gemini 2.5 Flash Lite measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 53.3% | Only Gemini 2.5 Flash Lite measured |
| OTIS Mock AIME | 99.4% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| FrontierMath, tiers 1 to 3 | 71.2% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| FrontierMath, tier 4 | 46.3% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Neither model has a result on the other 6 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | DeepSeek V4.1 Flash 1017 | Gemini 2.5 Flash Lite | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 79.1% | Only Gemini 2.5 Flash Lite measured |
| LegalBench (Vals AI) | Not measured | 82.0% | Only Gemini 2.5 Flash Lite measured |
| CorpFin (Vals AI) | Not measured | 57.6% | Only Gemini 2.5 Flash Lite measured |
| TaxEval (Vals AI) | Not measured | 66.2% | Only Gemini 2.5 Flash Lite measured |
| MortgageTax (Vals AI) | Not measured | 57.6% | Only Gemini 2.5 Flash Lite measured |
| MedQA (Vals AI) | Not measured | 88.9% | Only Gemini 2.5 Flash Lite measured |
| MedCode (Vals AI) | Not measured | 34.2% | Only Gemini 2.5 Flash Lite measured |
| MMLU Pro (Artificial Analysis run) | Not measured | 75.9% | Only Gemini 2.5 Flash Lite measured |
| SimpleQA Verified | 42.5% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Neither model has a result on the other 9 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | DeepSeek V4.1 Flash 1017 | Gemini 2.5 Flash Lite | Leader |
|---|---|---|---|
| Design Arena: websites | 1312 | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Design Arena: UI components | 1300 | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Design Arena: game dev | 1362 | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Design Arena: data viz | 1335 | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Design Arena: 3D | 1372 | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Design Arena: all code categories | 1334 | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Design Arena: ASCII art | 1243 | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| LiveBench design | 83.4% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | DeepSeek V4.1 Flash 1017 | Gemini 2.5 Flash Lite | Leader |
|---|---|---|---|
| Vals Index | 61.3% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| LiveBench data analysis | 79.5% | Not measured | Only DeepSeek V4.1 Flash 1017 measured |
| 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 | Not measured | 49.9% | Only Gemini 2.5 Flash Lite measured |
| Long context reasoning (AA-LCR) | 82.7% | 55.7% | DeepSeek V4.1 Flash 1017 |
| DTBench | Not measured | 62.8% | Only Gemini 2.5 Flash Lite measured |
| LMCA | Not measured | 18.1% | Only Gemini 2.5 Flash Lite 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 V4.1 Flash 1017 | 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 V4.1 Flash 1017 | Google Gemini 2.5 Flash Lite |
|---|---|---|
| Maker | DeepSeek | |
| Weights | Open weights | No public weights listed |
| Released | October 17, 2026 | July 22, 2025 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.15 | $0.10 |
| Output $/Mtok | $0.60 | $0.40 |
| Coding index | 70.3 | Not benchmarked |
| Independent measurements behind it | 4 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V4.1 Flash 1017 better than Gemini 2.5 Flash Lite for coding?
Only DeepSeek V4.1 Flash 1017 has a coding score, 70.3 on the Vibe Coding Index; Gemini 2.5 Flash Lite has none, so the two cannot be ranked on coding. Pick Gemini 2.5 Flash Lite for output tokens 1.5x cheaper ($0.40 vs $0.60 per million).
Which is cheaper, DeepSeek V4.1 Flash 1017 or Gemini 2.5 Flash Lite?
DeepSeek V4.1 Flash 1017 costs $0.15 per million input tokens and $0.60 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 V4.1 Flash 1017 or Gemini 2.5 Flash Lite?
Neither: both take 1.05M tokens.
How many benchmarks is the DeepSeek V4.1 Flash 1017 vs Gemini 2.5 Flash Lite comparison based on?
3 benchmarks have a result for both models as of October 21, 2026. DeepSeek V4.1 Flash 1017's coding index rests on 4 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.