o3 vs Solar Pro 4
Updated October 21, 2026. 38 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick o3 for coding: it scores 70.7 on the Vibe Coding Index against 24.4 for Solar Pro 4.
Pick Solar Pro 4 when output tokens cost 13.3x less, or when the context window is larger, 524K against 200K tokens.
- Shared results
- 38
- o3 only
- 59
- Solar Pro 4 only
- 7
- 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
o3
o3 scores 70.7 against 24.4.
2 and 1 benchmarks behind the scores
Intelligence
AA Intelligence Index
Solar Pro 4
Solar Pro 4 leads, 28.2 against 20.2.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only o3 has a GPQA Diamond result, 84.1%.
Directional only
Math
AIME
No call
Only o3 has a AIME result, 85.3%.
Directional only
Knowledge
MMLU Pro
No call
Only o3 has a MMLU Pro result, 85.6%.
Directional only
Web design
Design Arena: websites
Solar Pro 4
Solar Pro 4 leads, 1176 against 1036.
Same board, both measured
Long documents
Listed context window
Solar Pro 4
Solar Pro 4 takes 524K tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Solar Pro 4
o3 $0.0060, Solar Pro 4 $0.0004 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only o3 has the number, $0.571.
Directional only
At a glance
- Coding index
- o3 70.7 from 2 benchmarks, Solar Pro 4 24.4 from 1 benchmark.
- Widest category
- Web design, 14.8 points apart on average over 5 shared benchmarks.
- Widest single gap
- ALE-Bench: o3 933.5 against Solar Pro 4 179.3, 25.1 points apart on a 0 to 100 scale.
- Output price
- o3 $8.00 against Solar Pro 4 $0.60 per million output tokens, 13.3x apart.
- Context window
- o3 takes 200K tokens, Solar Pro 4 524K.
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 | o3 | Bars | Solar Pro 4 | Ties |
|---|---|---|---|---|
| Coding | 1 | 2 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 1 | 4 | ||
| Math | 1 | 1 | ||
| Knowledge | 4 | 0 | ||
| Web design | 1 | 4 | ||
| General | 14 | 4 | ||
| All shared boards | 22 | 16 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index12
| Benchmark | o3 | Solar Pro 4 | Leader |
|---|---|---|---|
| Aider polyglot | 81.3% | Not measured | Only o3 measured |
| SWE-bench Verified | 58.4% | Not measured | Only o3 measured |
| SWE-bench Multimodal | 36.0% | Not measured | Only o3 measured |
| LMArena WebDev | Not measured | 1371 | Only Solar Pro 4 measured |
| AA Coding Index | Not measured | 52.7 | Only Solar Pro 4 measured |
| LiveCodeBench (Vals AI) | 83.9% | Not measured | Only o3 measured |
| LiveCodeBench (Artificial Analysis run) | 80.8% | Not measured | Only o3 measured |
| SciCode | Not measured | 48.0% | Only Solar Pro 4 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 37.1% | Not measured | Only o3 measured |
| GSO-Bench | 8.8% | Not measured | Only o3 measured |
| WeirdML | 52.4% | Not measured | Only o3 measured |
| ALE-Bench | 933.5 | 179.3 | o3 |
| LMArena Text: coding | 1407 | 1438 | Solar Pro 4 |
| LMArena Text: software and IT | 1415 | 1431 | Solar Pro 4 |
| LMArena WebDev: React | Not measured | 1363 | Only Solar Pro 4 measured |
| LMArena WebDev: HTML | Not measured | 1371 | Only Solar Pro 4 measured |
| Neither model has a result on the other 22 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | o3 | Solar Pro 4 | Leader |
|---|---|---|---|
| AA Intelligence Index | 20.2 | 28.2 | Solar Pro 4 |
| Epoch Capabilities Index | 146.7 | Not measured | Only o3 measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | o3 | Solar Pro 4 | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | Not measured | 1105 | Only Solar Pro 4 measured |
| τ²-Bench Telecom | 80.7% | Not measured | Only o3 measured |
| METR time horizons | 65.4% | Not measured | Only o3 measured |
| GDPval | 30.8% | Not measured | Only o3 measured |
| DeepResearch Bench | 45.2% | Not measured | Only o3 measured |
| OSWorld | 23.0% | Not measured | Only o3 measured |
| Neither model has a result on the other 33 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index14
| Benchmark | o3 | Solar Pro 4 | Leader |
|---|---|---|---|
| GPQA Diamond | 84.1% | Not measured | Only o3 measured |
| MMMU Pro (Vals AI) | 80.4% | Not measured | Only o3 measured |
| GPQA Diamond (Artificial Analysis run) | 82.7% | 89.1% | Solar Pro 4 |
| Humanity's Last Exam (Artificial Analysis run) | 20.1% | 29.8% | Solar Pro 4 |
| GPQA Diamond (Epoch AI run) | 81.8% | Not measured | Only o3 measured |
| ARC-AGI | 60.8% | Not measured | Only o3 measured |
| ARC-AGI-2 | 6.5% | Not measured | Only o3 measured |
| SimpleBench | 53.1% | Not measured | Only o3 measured |
| Chess puzzles | 37.0% | Not measured | Only o3 measured |
| Mystery game puzzles | 29.0% | Not measured | Only o3 measured |
| VPCT | 52.0% | Not measured | Only o3 measured |
| LMArena Text: hard prompts | 1402 | 1400 | o3 |
| LMArena Text: expert | 1402 | 1428 | Solar Pro 4 |
| LMArena Text: hard prompts in English | 1411 | 1427 | Solar Pro 4 |
| LMArena Vision: diagrams | 1220 | Not measured | Only o3 measured |
| LMArena Vision: homework | 1234 | Not measured | Only o3 measured |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | o3 | Solar Pro 4 | Leader |
|---|---|---|---|
| AIME | 85.3% | Not measured | Only o3 measured |
| MATH 500 (Vals AI) | 94.6% | Not measured | Only o3 measured |
| MGSM (Vals AI) | 91.8% | Not measured | Only o3 measured |
| AA Math Index | 88.3 | Not measured | Only o3 measured |
| AIME 2025 (Artificial Analysis run) | 88.3% | Not measured | Only o3 measured |
| OTIS Mock AIME | 84.4% | Not measured | Only o3 measured |
| FrontierMath, tiers 1 to 3 | 33.3% | Not measured | Only o3 measured |
| MATH level 5 | 97.8% | Not measured | Only o3 measured |
| LMArena Text: math | 1426 | 1421 | o3 |
| LMArena Text: mathematical work | 1423 | 1427 | Solar Pro 4 |
| Neither model has a result on the other 3 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | o3 | Solar Pro 4 | Leader |
|---|---|---|---|
| MMLU Pro | 85.6% | Not measured | Only o3 measured |
| LegalBench (Vals AI) | 83.8% | Not measured | Only o3 measured |
| CorpFin (Vals AI) | 59.7% | Not measured | Only o3 measured |
| TaxEval (Vals AI) | 74.6% | Not measured | Only o3 measured |
| MortgageTax (Vals AI) | 65.7% | Not measured | Only o3 measured |
| MedQA (Vals AI) | 96.1% | Not measured | Only o3 measured |
| MedCode (Vals AI) | 47.3% | Not measured | Only o3 measured |
| MMLU Pro (Artificial Analysis run) | 85.3% | Not measured | Only o3 measured |
| SimpleQA Verified | 49.4% | Not measured | Only o3 measured |
| GeoBench | 74.0% | Not measured | Only o3 measured |
| LMArena Text: science | 1429 | 1404 | o3 |
| LMArena Text: medicine and healthcare | 1448 | 1374 | o3 |
| LMArena Text: legal and government | 1428 | 1383 | o3 |
| LMArena Text: business and finance | 1393 | 1381 | o3 |
| Neither model has a result on the other 3 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index14
| Benchmark | o3 | Solar Pro 4 | Leader |
|---|---|---|---|
| Design Arena: websites | 1036 | 1176 | Solar Pro 4 |
| Design Arena: UI components | 1016 | 1150 | Solar Pro 4 |
| Design Arena: game dev | 1034 | 1170 | Solar Pro 4 |
| Design Arena: data viz | 1200 | 1177 | o3 |
| Design Arena: 3D | Not measured | 1178 | Only Solar Pro 4 measured |
| Design Arena: all code categories | 1021 | 1182 | Solar Pro 4 |
| Neither model has a result on the other 3 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index144
| Benchmark | o3 | Solar Pro 4 | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 41.8% | Not measured | Only o3 measured |
| MedScribe (Vals AI) | 76.7% | Not measured | Only o3 measured |
| IFBench | 71.4% | Not measured | Only o3 measured |
| Long context reasoning (AA-LCR) | 74.7% | 70.7% | o3 |
| DTBench | 84.8% | Not measured | Only o3 measured |
| LMCA | 39.7% | Not measured | Only o3 measured |
| Fiction.LiveBench | 88.9% | Not measured | Only o3 measured |
| Creative writing (Lech Mazur) | 83.9% | Not measured | Only o3 measured |
| CL-bench | 17.8% | Not measured | Only o3 measured |
| LMArena Text | 1410 | 1388 | o3 |
| LMArena Text: instruction following | 1368 | 1375 | Solar Pro 4 |
| LMArena Text: creative writing | 1359 | 1317 | o3 |
| LMArena Vision | 1214 | Not measured | Only o3 measured |
| LMArena Text: English | 1417 | 1414 | o3 |
| LMArena Text: non-English | 1401 | 1363 | o3 |
| LMArena Text: Chinese | 1437 | 1422 | o3 |
| LMArena Text: German | 1420 | 1358 | o3 |
| LMArena Text: Japanese | 1403 | 1320 | o3 |
| LMArena Text: Korean | 1370 | 1383 | Solar Pro 4 |
| LMArena Text: French | 1430 | 1400 | o3 |
| LMArena Text: Spanish | 1395 | 1409 | Solar Pro 4 |
| LMArena Text: Russian | 1406 | 1357 | o3 |
| LMArena Text: Polish | 1438 | 1304 | o3 |
| LMArena Text: multi-turn | 1405 | 1385 | o3 |
| LMArena Text: longer queries | 1372 | 1382 | Solar Pro 4 |
| LMArena Text: writing and language | 1372 | 1344 | o3 |
| LMArena Text: entertainment and media | 1373 | 1332 | o3 |
| LMArena Vision: English | 1221 | Not measured | Only o3 measured |
| LMArena Vision: Chinese | 1237 | Not measured | Only o3 measured |
| LMArena Vision: reading text | 1218 | Not measured | Only o3 measured |
| LMArena Vision: humor | 1222 | Not measured | Only o3 measured |
| LMArena Vision: captioning | 1210 | Not measured | Only o3 measured |
| LMArena Vision: recognizing things | 1234 | Not measured | Only o3 measured |
| LMArena Vision: creative writing | 1201 | Not measured | Only o3 measured |
| Neither model has a result on the other 12 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | o3 | Solar Pro 4 | 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
Solar Pro 4 costs less
Repository review
50K input + 3K output tokens
Solar Pro 4 costs less
Agent loop
200K input + 10K output tokens
Solar Pro 4 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 | OpenAI o3 | Upstage Solar Pro 4 |
|---|---|---|
| Maker | OpenAI | Upstage |
| Weights | No public weights listed | No public weights listed |
| Released | April 16, 2025 | August 10, 2026 |
| Context window | 200K | 524K |
| Input $/Mtok | $2.00 | $0.15 |
| Output $/Mtok | $8.00 | $0.60 |
| Coding index | 70.7 | 24.4 |
| Independent measurements behind it | 2 | 1 |
| Cost per solved task | $0.571 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is o3 better than Solar Pro 4 for coding?
Pick o3 for coding: it scores 70.7 on the Vibe Coding Index against 24.4 for Solar Pro 4. Pick Solar Pro 4 when output tokens cost 13.3x less, or when the context window is larger, 524K against 200K tokens.
Which is cheaper, o3 or Solar Pro 4?
o3 costs $2.00 per million input tokens and $8.00 per million output tokens; Solar Pro 4 costs $0.15 and $0.60. Cost per solved task is known for o3 only.
Which has the bigger context window, o3 or Solar Pro 4?
Solar Pro 4, with 524K tokens against 200K.
How many benchmarks is the o3 vs Solar Pro 4 comparison based on?
38 benchmarks have a result for both models as of October 21, 2026. o3's coding index rests on 2 independent benchmarks and Solar Pro 4's on 1. Where only one model has a result, the page says so instead of naming a winner.