Gemini 2.5 Pro vs Solar Pro 4
Solar Pro 4 leads Gemini 2.5 Pro on the Artificial Analysis Intelligence Index, 28.2 to 16.1, and Solar Pro 4 costs 16.7x less per output token ($0.60 vs $10.00 per million). Updated October 21, 2026; 42 benchmarks have a result for both.
Gemini 2.5 Pro or Solar Pro 4: which to pick
Only Gemini 2.5 Pro has a coding score, 19.1 on the Vibe Coding Index; Solar Pro 4 has none, so the two cannot be ranked on coding.
Pick Solar Pro 4 for output tokens 16.7x cheaper ($0.60 vs $10.00 per million) and work measured by LMArena WebDev or AA Coding Index, where it leads.
- Shared results
- 42
- Gemini 2.5 Pro only
- 48
- Solar Pro 4 only
- 3
- 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
Only Gemini 2.5 Pro has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Solar Pro 4
Solar Pro 4 leads, 28.2 against 16.1.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Gemini 2.5 Pro has a AA Agentic Index result, 1.6.
Directional only
Web design
Design Arena: websites
Solar Pro 4
Solar Pro 4 leads, 1176 against 1167.
Same board, both measured
Long documents
Listed context window
Gemini 2.5 Pro
Gemini 2.5 Pro takes 1.05M tokens against 524K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Solar Pro 4
Gemini 2.5 Pro $0.0063, Solar Pro 4 $0.0004 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Gemini 2.5 Pro has the number, $0.64.
Directional only
At a glance
- Coding index
- Gemini 2.5 Pro 19.1 from 3 benchmarks, Solar Pro 4 not benchmarked.
- Widest category
- General, 14.7 points apart on average over 18 shared benchmarks.
- Widest single gap
- LMArena Text: Polish: Gemini 2.5 Pro 1479 against Solar Pro 4 1304, 29.1 points apart on a 0 to 100 scale.
- Output price
- Gemini 2.5 Pro $10.00 against Solar Pro 4 $0.60 per million output tokens, 16.7x apart.
- Context window
- Gemini 2.5 Pro takes 1.05M 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 | Gemini 2.5 Pro | Bars | Solar Pro 4 | Ties |
|---|---|---|---|---|
| Coding | 2 | 4 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 3 | 2 | ||
| Math | 2 | 0 | ||
| Knowledge | 4 | 0 | ||
| Web design | 1 | 5 | ||
| General | 17 | 1 | ||
| All shared boards | 29 | 13 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index24
| Benchmark | Gemini 2.5 Pro | Solar Pro 4 | Leader |
|---|---|---|---|
| SWE-bench Verified | 53.6% | Not measured | Only Gemini 2.5 Pro measured |
| LMArena WebDev | 1226 | 1371 | Solar Pro 4 |
| AA Coding Index | 33.3 | 52.7 | Solar Pro 4 |
| SWE-bench Verified (Vals AI) | 54.4% | Not measured | Only Gemini 2.5 Pro measured |
| Vibe Code Bench (Vals AI) | 0.4% | Not measured | Only Gemini 2.5 Pro measured |
| LiveCodeBench (Artificial Analysis run) | 80.1% | Not measured | Only Gemini 2.5 Pro measured |
| SciCode | 46.3% | 48.0% | Solar Pro 4 |
| Terminal-Bench Hard (Artificial Analysis run) | 26.5% | Not measured | Only Gemini 2.5 Pro measured |
| Terminal-Bench | 32.6% | Not measured | Only Gemini 2.5 Pro measured |
| GSO-Bench | 3.9% | Not measured | Only Gemini 2.5 Pro measured |
| WeirdML | 54.0% | Not measured | Only Gemini 2.5 Pro measured |
| ALE-Bench | Not measured | 179.3 | Only Solar Pro 4 measured |
| LMArena Text: coding | 1452 | 1438 | Gemini 2.5 Pro |
| LMArena Text: software and IT | 1459 | 1431 | Gemini 2.5 Pro |
| LMArena WebDev: React | Not measured | 1363 | Only Solar Pro 4 measured |
| LMArena WebDev: HTML | 1235 | 1371 | Solar Pro 4 |
| LMArena WebDev: from an image | 1285 | Not measured | Only Gemini 2.5 Pro 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 | Gemini 2.5 Pro | Solar Pro 4 | Leader |
|---|---|---|---|
| AA Intelligence Index | 16.1 | 28.2 | Solar Pro 4 |
| Epoch Capabilities Index | 145.1 | Not measured | Only Gemini 2.5 Pro measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | Gemini 2.5 Pro | Solar Pro 4 | Leader |
|---|---|---|---|
| AA Agentic Index | 1.6 | Not measured | Only Gemini 2.5 Pro measured |
| Design Arena: agents building web apps | Not measured | 1105 | Only Solar Pro 4 measured |
| τ²-Bench Telecom | 54.1% | Not measured | Only Gemini 2.5 Pro measured |
| GDPval | 23.3% | Not measured | Only Gemini 2.5 Pro measured |
| DeepResearch Bench | 41.5% | Not measured | Only Gemini 2.5 Pro measured |
| Vending-Bench 2 | $574 | Not measured | Only Gemini 2.5 Pro measured |
| BrowseComp-Plus | 29.5% | Not measured | Only Gemini 2.5 Pro measured |
| Neither model has a result on the other 34 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index32
| Benchmark | Gemini 2.5 Pro | Solar Pro 4 | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 84.4% | 89.1% | Solar Pro 4 |
| Humanity's Last Exam (Artificial Analysis run) | 22.5% | 29.8% | Solar Pro 4 |
| GPQA Diamond (Epoch AI run) | 85.3% | Not measured | Only Gemini 2.5 Pro measured |
| ARC-AGI | 41.0% | Not measured | Only Gemini 2.5 Pro measured |
| ARC-AGI-2 | 4.9% | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Text: hard prompts | 1455 | 1400 | Gemini 2.5 Pro |
| LMArena Text: expert | 1452 | 1428 | Gemini 2.5 Pro |
| LMArena Text: hard prompts in English | 1453 | 1427 | Gemini 2.5 Pro |
| LMArena Vision: diagrams | 1274 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Vision: homework | 1281 | Not measured | Only Gemini 2.5 Pro measured |
| Kagi LLM Benchmark | 70.3% | Not measured | Only Gemini 2.5 Pro measured |
| Neither model has a result on the other 11 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemini 2.5 Pro | Solar Pro 4 | Leader |
|---|---|---|---|
| AA Math Index | 87.7 | Not measured | Only Gemini 2.5 Pro measured |
| AIME 2025 (Artificial Analysis run) | 87.7% | Not measured | Only Gemini 2.5 Pro measured |
| OTIS Mock AIME | 84.7% | Not measured | Only Gemini 2.5 Pro measured |
| FrontierMath, tiers 1 to 3 | 24.6% | Not measured | Only Gemini 2.5 Pro measured |
| FrontierMath, tier 4 | 0.0% | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Text: math | 1450 | 1421 | Gemini 2.5 Pro |
| LMArena Text: mathematical work | 1454 | 1427 | Gemini 2.5 Pro |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Gemini 2.5 Pro | Solar Pro 4 | Leader |
|---|---|---|---|
| CaseLaw (Vals AI) | 63.9% | Not measured | Only Gemini 2.5 Pro measured |
| CorpFin (Vals AI) | 60.8% | Not measured | Only Gemini 2.5 Pro measured |
| MortgageTax (Vals AI) | 68.9% | Not measured | Only Gemini 2.5 Pro measured |
| MedCode (Vals AI) | 50.6% | Not measured | Only Gemini 2.5 Pro measured |
| MMLU Pro (Artificial Analysis run) | 86.2% | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Text: science | 1480 | 1404 | Gemini 2.5 Pro |
| LMArena Text: medicine and healthcare | 1476 | 1374 | Gemini 2.5 Pro |
| LMArena Text: legal and government | 1480 | 1383 | Gemini 2.5 Pro |
| LMArena Text: business and finance | 1439 | 1381 | Gemini 2.5 Pro |
| FACTS Benchmark Suite | 61.5% | Not measured | Only Gemini 2.5 Pro measured |
| Neither model has a result on the other 8 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index15
| Benchmark | Gemini 2.5 Pro | Solar Pro 4 | Leader |
|---|---|---|---|
| Design Arena: websites | 1167 | 1176 | Solar Pro 4 |
| Design Arena: UI components | 1140 | 1150 | Solar Pro 4 |
| Design Arena: game dev | 1111 | 1170 | Solar Pro 4 |
| Design Arena: data viz | 1221 | 1177 | Gemini 2.5 Pro |
| Design Arena: 3D | 1081 | 1178 | Solar Pro 4 |
| Design Arena: all code categories | 1152 | 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 index171
| Benchmark | Gemini 2.5 Pro | Solar Pro 4 | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 41.9% | Not measured | Only Gemini 2.5 Pro measured |
| MedScribe (Vals AI) | 73.5% | Not measured | Only Gemini 2.5 Pro measured |
| IFBench | 48.7% | Not measured | Only Gemini 2.5 Pro measured |
| Long context reasoning (AA-LCR) | 69.0% | 70.7% | Solar Pro 4 |
| DTBench | 82.4% | Not measured | Only Gemini 2.5 Pro measured |
| LMCA | 34.8% | Not measured | Only Gemini 2.5 Pro measured |
| Creative writing (Lech Mazur) | 83.8% | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Text | 1458 | 1388 | Gemini 2.5 Pro |
| LMArena Text: instruction following | 1437 | 1375 | Gemini 2.5 Pro |
| LMArena Text: creative writing | 1454 | 1317 | Gemini 2.5 Pro |
| LMArena Vision | 1263 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Text: English | 1458 | 1414 | Gemini 2.5 Pro |
| LMArena Text: non-English | 1452 | 1363 | Gemini 2.5 Pro |
| LMArena Text: Chinese | 1507 | 1422 | Gemini 2.5 Pro |
| LMArena Text: German | 1487 | 1358 | Gemini 2.5 Pro |
| LMArena Text: Japanese | 1461 | 1320 | Gemini 2.5 Pro |
| LMArena Text: Korean | 1434 | 1383 | Gemini 2.5 Pro |
| LMArena Text: French | 1473 | 1400 | Gemini 2.5 Pro |
| LMArena Text: Spanish | 1474 | 1409 | Gemini 2.5 Pro |
| LMArena Text: Russian | 1461 | 1357 | Gemini 2.5 Pro |
| LMArena Text: Polish | 1479 | 1304 | Gemini 2.5 Pro |
| LMArena Text: multi-turn | 1453 | 1385 | Gemini 2.5 Pro |
| LMArena Text: longer queries | 1449 | 1382 | Gemini 2.5 Pro |
| LMArena Text: writing and language | 1454 | 1344 | Gemini 2.5 Pro |
| LMArena Text: entertainment and media | 1441 | 1332 | Gemini 2.5 Pro |
| LMArena Vision: English | 1261 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Vision: Chinese | 1300 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Vision: reading text | 1270 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Vision: humor | 1262 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Vision: captioning | 1304 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Vision: recognizing things | 1283 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Vision: creative writing | 1265 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Document | 1421 | Not measured | Only Gemini 2.5 Pro measured |
| Neither model has a result on the other 13 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 2.5 Pro | 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 | Google Gemini 2.5 Pro | Upstage Solar Pro 4 |
|---|---|---|
| Maker | Upstage | |
| Weights | No public weights listed | No public weights listed |
| Released | June 17, 2025 | August 10, 2026 |
| Context window | 1.05M | 524K |
| Input $/Mtok | $1.25 | $0.15 |
| Output $/Mtok | $10.00 | $0.60 |
| Coding index | 19.1 | Not benchmarked |
| Independent measurements behind it | 3 | 1 |
| Cost per solved task | $0.64 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 2.5 Pro better than Solar Pro 4 for coding?
Only Gemini 2.5 Pro has a coding score, 19.1 on the Vibe Coding Index; Solar Pro 4 has none, so the two cannot be ranked on coding. Pick Solar Pro 4 for output tokens 16.7x cheaper ($0.60 vs $10.00 per million) and work measured by LMArena WebDev or AA Coding Index, where it leads.
Which is cheaper, Gemini 2.5 Pro or Solar Pro 4?
Gemini 2.5 Pro costs $1.25 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 Gemini 2.5 Pro only.
Which has the bigger context window, Gemini 2.5 Pro or Solar Pro 4?
Gemini 2.5 Pro, with 1.05M tokens against 524K.
How many benchmarks is the Gemini 2.5 Pro vs Solar Pro 4 comparison based on?
42 benchmarks have a result for both models as of October 21, 2026. Gemini 2.5 Pro's coding index rests on 3 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.