DeepSeek V3 0324 vs o1
Updated October 21, 2026. 29 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick o1 for coding: it scores 61.7 on the Vibe Coding Index against 42.0 for DeepSeek V3 0324.
Pick DeepSeek V3 0324 when output tokens cost 52.6x less, or when what matters is LiveCodeBench (Vals AI) or Terminal-Bench Hard (Artificial Analysis run), where it leads.
- Shared results
- 29
- DeepSeek V3 0324 only
- 6
- o1 only
- 39
- 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
o1
o1 scores 61.7 against 42.0.
One benchmark behind each score
Intelligence
AA Intelligence Index
o1
o1 leads, 15.2 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
o1
o1 leads, 73.2% against 61.6%.
Same board, both measured
Math
AIME
o1
o1 leads, 71.5% against 52.2%.
Same board, both measured
Knowledge
MMLU Pro
o1
o1 leads, 83.5% against 79.5%.
Same board, both measured
Long documents
Listed context window
o1
o1 takes 200K tokens against 164K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V3 0324
DeepSeek V3 0324 $0.0009, o1 $0.045 per turn.
List prices
At a glance
- Coding index
- DeepSeek V3 0324 42.0 from 1 benchmark, o1 61.7 from 1 benchmark.
- Widest category
- General, 18.4 points apart on average over 6 shared benchmarks.
- Widest single gap
- OTIS Mock AIME: DeepSeek V3 0324 37.8% against o1 73.3%, 35.6 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V3 0324 $1.14 against o1 $60.00 per million output tokens, 52.6x apart.
- Context window
- DeepSeek V3 0324 takes 164K tokens, o1 200K.
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 | o1 | Ties |
|---|---|---|---|---|
| Coding | 2 | 3 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 2 | ||
| Reasoning | 0 | 5 | ||
| Math | 1 | 4 | ||
| Knowledge | 0 | 5 | ||
| General | 1 | 5 | ||
| All shared boards | 4 | 25 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index23
| Benchmark | DeepSeek V3 0324 | o1 | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 61.7% | Only o1 measured |
| SWE-bench Verified | 42.0% | Not measured | Only DeepSeek V3 0324 measured |
| AA Coding Index | 21.2 | 39.7 | o1 |
| LiveCodeBench (Vals AI) | 65.5% | 50.3% | DeepSeek V3 0324 |
| LiveCodeBench (Artificial Analysis run) | 40.5% | 67.9% | o1 |
| SciCode | 39.0% | Not measured | Only DeepSeek V3 0324 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 15.2% | 12.9% | DeepSeek V3 0324 |
| WeirdML | 36.1% | 46.1% | o1 |
| LMArena Text: coding | Not measured | 1367 | Only o1 measured |
| LMArena Text: software and IT | Not measured | 1366 | Only o1 measured |
| Neither model has a result on the other 28 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | DeepSeek V3 0324 | o1 | Leader |
|---|---|---|---|
| AA Intelligence Index | 9.7 | 15.2 | o1 |
| Epoch Capabilities Index | Not measured | 141.7 | Only o1 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | DeepSeek V3 0324 | o1 | Leader |
|---|---|---|---|
| AA Agentic Index | 0.8 | Not measured | Only DeepSeek V3 0324 measured |
| τ²-Bench Telecom | 47.1% | 62.6% | o1 |
| METR time horizons | 49.6% | 51.1% | o1 |
| Neither model has a result on the other 36 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | DeepSeek V3 0324 | o1 | Leader |
|---|---|---|---|
| GPQA Diamond | 61.6% | 73.2% | o1 |
| MMMU Pro (Vals AI) | Not measured | 77.4% | Only o1 measured |
| GPQA Diamond (Artificial Analysis run) | 65.5% | 74.7% | o1 |
| Humanity's Last Exam (Artificial Analysis run) | 4.7% | 7.0% | o1 |
| GPQA Diamond (Epoch AI run) | 67.6% | 76.8% | o1 |
| ARC-AGI | Not measured | 30.7% | Only o1 measured |
| SimpleBench | 27.2% | 40.1% | o1 |
| Chess puzzles | Not measured | 10.0% | Only o1 measured |
| VPCT | Not measured | 37.0% | Only o1 measured |
| LMArena Text: hard prompts | Not measured | 1371 | Only o1 measured |
| LMArena Text: expert | Not measured | 1361 | Only o1 measured |
| LMArena Text: hard prompts in English | Not measured | 1372 | Only o1 measured |
| Neither model has a result on the other 9 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index14
| Benchmark | DeepSeek V3 0324 | o1 | Leader |
|---|---|---|---|
| AIME | 52.2% | 71.5% | o1 |
| MATH 500 (Vals AI) | 88.6% | 90.4% | o1 |
| MGSM (Vals AI) | 91.7% | 89.3% | DeepSeek V3 0324 |
| 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% | 73.3% | o1 |
| FrontierMath, tiers 1 to 3 | Not measured | 14.7% | Only o1 measured |
| MATH level 5 | 75.5% | 94.7% | o1 |
| LMArena Text: math | Not measured | 1388 | Only o1 measured |
| LMArena Text: mathematical work | Not measured | 1390 | Only o1 measured |
| Neither model has a result on the other 3 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | DeepSeek V3 0324 | o1 | Leader |
|---|---|---|---|
| MMLU Pro | 79.5% | 83.5% | o1 |
| LegalBench (Vals AI) | 77.7% | 80.4% | o1 |
| CorpFin (Vals AI) | 54.7% | Not measured | Only DeepSeek V3 0324 measured |
| TaxEval (Vals AI) | 71.1% | 74.3% | o1 |
| MedQA (Vals AI) | 82.0% | 96.5% | o1 |
| MMLU Pro (Artificial Analysis run) | 81.9% | 84.1% | o1 |
| SimpleQA Verified | Not measured | 41.1% | Only o1 measured |
| GeoBench | Not measured | 80.0% | Only o1 measured |
| LMArena Text: science | Not measured | 1369 | Only o1 measured |
| LMArena Text: medicine and healthcare | Not measured | 1355 | Only o1 measured |
| LMArena Text: legal and government | Not measured | 1368 | Only o1 measured |
| LMArena Text: business and finance | Not measured | 1328 | Only o1 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 | o1 | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index15
| Benchmark | DeepSeek V3 0324 | o1 | Leader |
|---|---|---|---|
| IFBench | 41.0% | 70.3% | o1 |
| Long context reasoning (AA-LCR) | 40.7% | 65.0% | o1 |
| DTBench | 64.8% | 74.7% | o1 |
| LMCA | 15.5% | 22.3% | o1 |
| Fiction.LiveBench | 50.0% | 83.3% | o1 |
| Creative writing (Lech Mazur) | 77.0% | 70.2% | DeepSeek V3 0324 |
| LMArena Text | Not measured | 1366 | Only o1 measured |
| LMArena Text: instruction following | Not measured | 1367 | Only o1 measured |
| LMArena Text: creative writing | Not measured | 1347 | Only o1 measured |
| LMArena Vision | Not measured | 1168 | Only o1 measured |
| LMArena Text: English | Not measured | 1372 | Only o1 measured |
| LMArena Text: non-English | Not measured | 1358 | Only o1 measured |
| LMArena Text: Chinese | Not measured | 1394 | Only o1 measured |
| LMArena Text: German | Not measured | 1337 | Only o1 measured |
| LMArena Text: Japanese | Not measured | 1346 | Only o1 measured |
| LMArena Text: Korean | Not measured | 1396 | Only o1 measured |
| LMArena Text: French | Not measured | 1344 | Only o1 measured |
| LMArena Text: Spanish | Not measured | 1345 | Only o1 measured |
| LMArena Text: Russian | Not measured | 1356 | Only o1 measured |
| LMArena Text: multi-turn | Not measured | 1355 | Only o1 measured |
| LMArena Text: longer queries | Not measured | 1378 | Only o1 measured |
| LMArena Text: writing and language | Not measured | 1360 | Only o1 measured |
| LMArena Text: entertainment and media | Not measured | 1358 | Only o1 measured |
| LMArena Vision: English | Not measured | 1162 | Only o1 measured |
| LMArena Vision: Chinese | Not measured | 1235 | Only o1 measured |
| Neither model has a result on the other 21 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V3 0324 | o1 | 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 | OpenAI o1 |
|---|---|---|
| Maker | DeepSeek | OpenAI |
| Weights | Open weights | No public weights listed |
| Released | March 24, 2025 | December 17, 2024 |
| Context window | 164K | 200K |
| Input $/Mtok | $0.29 | $15.00 |
| Output $/Mtok | $1.14 | $60.00 |
| Coding index | 42.0 | 61.7 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V3 0324 better than o1 for coding?
Pick o1 for coding: it scores 61.7 on the Vibe Coding Index against 42.0 for DeepSeek V3 0324. Pick DeepSeek V3 0324 when output tokens cost 52.6x less, or when what matters is LiveCodeBench (Vals AI) or Terminal-Bench Hard (Artificial Analysis run), where it leads.
Which is cheaper, DeepSeek V3 0324 or o1?
DeepSeek V3 0324 costs $0.29 per million input tokens and $1.14 per million output tokens; o1 costs $15.00 and $60.00. Cost per solved task is known for neither of them.
Which has the bigger context window, DeepSeek V3 0324 or o1?
o1, with 200K tokens against 164K.
How many benchmarks is the DeepSeek V3 0324 vs o1 comparison based on?
29 benchmarks have a result for both models as of October 21, 2026. DeepSeek V3 0324's coding index rests on 1 independent benchmark and o1's on 1. Where only one model has a result, the page says so instead of naming a winner.