GPT-4o (2024-08-06) vs Solar Pro 4
Updated October 21, 2026. 31 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
GPT-4o (2024-08-06) and Solar Pro 4 are level for coding, 23.1 against 24.4 on the Vibe Coding Index, so price and context decide.
GPT-4o (2024-08-06) is neither cheaper nor larger in context, and leads no benchmark both models were measured on. Pick Solar Pro 4 when output tokens cost 16.7x less, or when the context window is larger, 524K against 128K tokens.
- Shared results
- 31
- GPT-4o (2024-08-06) only
- 27
- Solar Pro 4 only
- 14
- Like-for-like categories
- 6 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
No call
Level: 23.1 against 24.4, inside 2 points.
One benchmark behind each score
Intelligence
AA Intelligence Index
Solar Pro 4
Solar Pro 4 leads, 28.2 against 7.7.
Same board, both measured
Math
AIME
No call
Only GPT-4o (2024-08-06) has a AIME result, 14.0%.
Directional only
Knowledge
MMLU Pro
No call
Only GPT-4o (2024-08-06) has a MMLU Pro result, 74.1%.
Directional only
Web design
Design Arena: websites
No call
Only Solar Pro 4 has a Design Arena: websites result, 1176.
Directional only
Long documents
Listed context window
Solar Pro 4
Solar Pro 4 takes 524K tokens against 128K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Solar Pro 4
GPT-4o (2024-08-06) $0.0075, Solar Pro 4 $0.0004 per turn.
List prices
At a glance
- Coding index
- GPT-4o (2024-08-06) 23.1 from 1 benchmark, Solar Pro 4 24.4 from 1 benchmark.
- Widest category
- Reasoning, 28.7 points apart on average over 5 shared benchmarks.
- Widest single gap
- GPQA Diamond (Artificial Analysis run): GPT-4o (2024-08-06) 52.1% against Solar Pro 4 89.1%, 37.0 points apart on a 0 to 100 scale.
- Output price
- GPT-4o (2024-08-06) $10.00 against Solar Pro 4 $0.60 per million output tokens, 16.7x apart.
- Context window
- GPT-4o (2024-08-06) takes 128K 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 | GPT-4o (2024-08-06) | Bars | Solar Pro 4 | Ties |
|---|---|---|---|---|
| Coding | 0 | 2 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 0 | 5 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 4 | ||
| General | 0 | 17 | ||
| All shared boards | 0 | 31 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index02
| Benchmark | GPT-4o (2024-08-06) | Solar Pro 4 | Leader |
|---|---|---|---|
| Aider polyglot | 23.1% | Not measured | Only GPT-4o (2024-08-06) measured |
| SWE-bench Lite | 21.7% | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena WebDev | Not measured | 1371 | Only Solar Pro 4 measured |
| AA Coding Index | Not measured | 52.7 | Only Solar Pro 4 measured |
| LiveCodeBench (Artificial Analysis run) | 31.7% | Not measured | Only GPT-4o (2024-08-06) measured |
| SciCode | Not measured | 48.0% | Only Solar Pro 4 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 8.3% | Not measured | Only GPT-4o (2024-08-06) measured |
| ALE-Bench | Not measured | 179.3 | Only Solar Pro 4 measured |
| LMArena Text: coding | 1283 | 1438 | Solar Pro 4 |
| LMArena Text: software and IT | 1278 | 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 26 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | GPT-4o (2024-08-06) | Solar Pro 4 | Leader |
|---|---|---|---|
| AA Intelligence Index | 7.7 | 28.2 | Solar Pro 4 |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | GPT-4o (2024-08-06) | Solar Pro 4 | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | Not measured | 1105 | Only Solar Pro 4 measured |
| τ²-Bench Telecom | 28.9% | Not measured | Only GPT-4o (2024-08-06) measured |
| Neither model has a result on the other 37 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | GPT-4o (2024-08-06) | Solar Pro 4 | Leader |
|---|---|---|---|
| MMMU Pro (Vals AI) | 64.0% | Not measured | Only GPT-4o (2024-08-06) measured |
| GPQA Diamond (Artificial Analysis run) | 52.1% | 89.1% | Solar Pro 4 |
| Humanity's Last Exam (Artificial Analysis run) | 2.3% | 29.8% | Solar Pro 4 |
| GPQA Diamond (Epoch AI run) | 49.2% | Not measured | Only GPT-4o (2024-08-06) measured |
| SimpleBench | 17.8% | Not measured | Only GPT-4o (2024-08-06) measured |
| Chess puzzles | 6.0% | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: hard prompts | 1264 | 1400 | Solar Pro 4 |
| LMArena Text: expert | 1241 | 1428 | Solar Pro 4 |
| LMArena Text: hard prompts in English | 1277 | 1427 | Solar Pro 4 |
| Neither model has a result on the other 12 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | GPT-4o (2024-08-06) | Solar Pro 4 | Leader |
|---|---|---|---|
| AIME | 14.0% | Not measured | Only GPT-4o (2024-08-06) measured |
| MATH 500 (Vals AI) | 75.2% | Not measured | Only GPT-4o (2024-08-06) measured |
| MGSM (Vals AI) | 90.7% | Not measured | Only GPT-4o (2024-08-06) measured |
| OTIS Mock AIME | 6.4% | Not measured | Only GPT-4o (2024-08-06) measured |
| FrontierMath, tiers 1 to 3 | 0.4% | Not measured | Only GPT-4o (2024-08-06) measured |
| MATH level 5 | 53.3% | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: math | 1285 | 1421 | Solar Pro 4 |
| LMArena Text: mathematical work | 1283 | 1427 | Solar Pro 4 |
| Neither model has a result on the other 5 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | GPT-4o (2024-08-06) | Solar Pro 4 | Leader |
|---|---|---|---|
| MMLU Pro | 74.1% | Not measured | Only GPT-4o (2024-08-06) measured |
| LegalBench (Vals AI) | 80.1% | Not measured | Only GPT-4o (2024-08-06) measured |
| CorpFin (Vals AI) | 39.4% | Not measured | Only GPT-4o (2024-08-06) measured |
| TaxEval (Vals AI) | 71.1% | Not measured | Only GPT-4o (2024-08-06) measured |
| MortgageTax (Vals AI) | 61.0% | Not measured | Only GPT-4o (2024-08-06) measured |
| MedQA (Vals AI) | 88.2% | Not measured | Only GPT-4o (2024-08-06) measured |
| SimpleQA Verified | 26.0% | Not measured | Only GPT-4o (2024-08-06) measured |
| MMLU | 84.3% | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: science | 1274 | 1404 | Solar Pro 4 |
| LMArena Text: medicine and healthcare | 1252 | 1374 | Solar Pro 4 |
| LMArena Text: legal and government | 1275 | 1383 | Solar Pro 4 |
| LMArena Text: business and finance | 1232 | 1381 | Solar Pro 4 |
| Neither model has a result on the other 5 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | GPT-4o (2024-08-06) | Solar Pro 4 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1176 | Only Solar Pro 4 measured |
| Design Arena: UI components | Not measured | 1150 | Only Solar Pro 4 measured |
| Design Arena: game dev | Not measured | 1170 | Only Solar Pro 4 measured |
| Design Arena: data viz | Not measured | 1177 | Only Solar Pro 4 measured |
| Design Arena: 3D | Not measured | 1178 | Only Solar Pro 4 measured |
| Design Arena: all code categories | Not measured | 1182 | Only Solar Pro 4 measured |
| Neither model has a result on the other 3 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index017
| Benchmark | GPT-4o (2024-08-06) | Solar Pro 4 | Leader |
|---|---|---|---|
| IFBench | 36.0% | Not measured | Only GPT-4o (2024-08-06) measured |
| Long context reasoning (AA-LCR) | 41.0% | 70.7% | Solar Pro 4 |
| LMArena Text | 1283 | 1388 | Solar Pro 4 |
| LMArena Text: instruction following | 1267 | 1375 | Solar Pro 4 |
| LMArena Text: creative writing | 1274 | 1317 | Solar Pro 4 |
| LMArena Vision | 1065 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: English | 1297 | 1414 | Solar Pro 4 |
| LMArena Text: non-English | 1262 | 1363 | Solar Pro 4 |
| LMArena Text: Chinese | 1254 | 1422 | Solar Pro 4 |
| LMArena Text: German | 1257 | 1358 | Solar Pro 4 |
| LMArena Text: Japanese | 1234 | 1320 | Solar Pro 4 |
| LMArena Text: Korean | 1218 | 1383 | Solar Pro 4 |
| LMArena Text: French | 1263 | 1400 | Solar Pro 4 |
| LMArena Text: Spanish | 1269 | 1409 | Solar Pro 4 |
| LMArena Text: Russian | 1272 | 1357 | Solar Pro 4 |
| LMArena Text: Polish | Not measured | 1304 | Only Solar Pro 4 measured |
| LMArena Text: multi-turn | 1279 | 1385 | Solar Pro 4 |
| LMArena Text: longer queries | 1283 | 1382 | Solar Pro 4 |
| LMArena Text: writing and language | 1290 | 1344 | Solar Pro 4 |
| LMArena Text: entertainment and media | 1267 | 1332 | Solar Pro 4 |
| LMArena Vision: English | 1072 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Vision: Chinese | 1009 | Not measured | Only GPT-4o (2024-08-06) measured |
| Neither model has a result on the other 24 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-4o (2024-08-06) | 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 GPT-4o (2024-08-06) | Upstage Solar Pro 4 |
|---|---|---|
| Maker | OpenAI | Upstage |
| Weights | No public weights listed | No public weights listed |
| Released | August 6, 2024 | August 10, 2026 |
| Context window | 128K | 524K |
| Input $/Mtok | $2.50 | $0.15 |
| Output $/Mtok | $10.00 | $0.60 |
| Coding index | 23.1 | 24.4 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-4o (2024-08-06) better than Solar Pro 4 for coding?
GPT-4o (2024-08-06) and Solar Pro 4 are level for coding, 23.1 against 24.4 on the Vibe Coding Index, so price and context decide. GPT-4o (2024-08-06) is neither cheaper nor larger in context, and leads no benchmark both models were measured on. Pick Solar Pro 4 when output tokens cost 16.7x less, or when the context window is larger, 524K against 128K tokens.
Which is cheaper, GPT-4o (2024-08-06) or Solar Pro 4?
GPT-4o (2024-08-06) costs $2.50 per million input tokens and $10.00 per million output tokens; Solar Pro 4 costs $0.15 and $0.60. Cost per solved task is known for neither of them.
Which has the bigger context window, GPT-4o (2024-08-06) or Solar Pro 4?
Solar Pro 4, with 524K tokens against 128K.
How many benchmarks is the GPT-4o (2024-08-06) vs Solar Pro 4 comparison based on?
31 benchmarks have a result for both models as of October 21, 2026. GPT-4o (2024-08-06)'s coding index rests on 1 independent benchmark and Solar Pro 4's on 1. Where only one model has a result, the page says so instead of naming a winner.