Model comparison
DeepSeek-R1 vs Solar Pro4
DeepSeek-R1 and Solar Pro4 score almost the same on the Noometry Index (42.3 vs 42.1), so choose on price, context window or the category you care about most.
Last verified . 17 shared benchmarks.
DeepSeek
UpstageSummary
- They share 17 benchmarks with published results for both. DeepSeek-R1 scores higher in 6 categories and Solar Pro4 in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Solar Pro4 leads 28.5 to 18.6.
- Solar Pro4 is cheaper at $0.30 / $1.20 per million input/output tokens, against $0.50 / $2.15 for DeepSeek-R1.
- Solar Pro4 accepts more context: 524K tokens versus 164K.
Side by side
| DeepSeek-R1 | Solar Pro4 | |
|---|---|---|
| Provider | DeepSeek | Upstage |
| Noometry Index | 42.3 | 42.1 |
| Released | 2025-01-20 | 2026-08-06 |
| Weights | Proprietary | Proprietary |
| Context window | 164K | 524K |
| Max output | 64K | 131K |
| Input $ / M tokens | $0.50 | $0.30 |
| Output $ / M tokens | $2.15 | $1.20 |
| Results tracked | 52 | 18 |
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Category by category
Coding DeepSeek-R1 leads
DeepSeek-R1: 46.3 (#68), Solar Pro4: 40.1 (#149)
| Benchmark | DeepSeek-R1 | Solar Pro4 |
|---|---|---|
| LMArena Coding | 1427 | 1437 |
| Aider Polyglot | 71.4% | — |
| LMArena WebDev | — | 1371 |
| SciCode | 35.7% | — |
| WeirdML | 41.6% | — |
| LiveBench Coding | 66.7% | — |
| ALE-Bench | 804.12 | — |
| AlgoTune | 1.7 | — |
Agentic & Tool Use Not comparable
DeepSeek-R1: 30.7 (#75), Solar Pro4: —
| Benchmark | DeepSeek-R1 | Solar Pro4 |
|---|---|---|
| DeepResearch Bench | 35.1% | — |
| BALROG | 34.9% | — |
| METR Time Horizons | 53.8% | — |
Reasoning Solar Pro4 leads
DeepSeek-R1: 18.6 (#278), Solar Pro4: 28.5 (#104)
| Benchmark | DeepSeek-R1 | Solar Pro4 |
|---|---|---|
| LMArena Hard Prompts | 1416 | 1399 |
| ARC-AGI-2 | 1.3% | — |
| SimpleBench | 40.8% | — |
| Kagi LLM Benchmark | 69.4% | — |
| ARC-AGI-1 | 21.2% | — |
| CritPt | 1.1% | — |
| LiveBench Reasoning | 83.2% | — |
| LiveBench Data Analysis | 69.8% | — |
| Epoch Capabilities Index | 141.29 | — |
| ForecastBench | 60 | — |
| LiveBench | 71.6% | — |
Math DeepSeek-R1 leads
DeepSeek-R1: 43.8 (#79), Solar Pro4: 38.8 (#128)
| Benchmark | DeepSeek-R1 | Solar Pro4 |
|---|---|---|
| LMArena Math | 1400 | 1416 |
| OTIS Mock AIME 2024-2025 | 66.4% | — |
| Omni-MATH | 42.4% | — |
| LiveBench Math | 80.7% | — |
| MATH Level 5 | 96.6% | — |
Knowledge DeepSeek-R1 leads
DeepSeek-R1: 44.5 (#87), Solar Pro4: 39.8 (#129)
| Benchmark | DeepSeek-R1 | Solar Pro4 |
|---|---|---|
| LMArena Expert | 1394 | 1427 |
| GPQA Diamond | 76.3% | — |
| MMLU-Pro | 79.3% | — |
| Confabulations | 12.7% | — |
| Vectara Hallucination Rate | 11.3% | — |
| GPQA (HELM) | 66.6% | — |
Multilingual DeepSeek-R1 leads
DeepSeek-R1: 52.4 (#85), Solar Pro4: 48.7 (#139)
| Benchmark | DeepSeek-R1 | Solar Pro4 |
|---|---|---|
| LMArena Non-English | 1412 | 1361 |
| LMArena Chinese | 1442 | 1415 |
| LMArena French | 1417 | 1397 |
| LMArena German | 1404 | 1364 |
| LMArena Japanese | 1391 | 1309 |
| LMArena Korean | 1360 | 1382 |
| LMArena Russian | 1423 | 1360 |
| LMArena Spanish | 1411 | 1401 |
Instruction Following Too close to call
DeepSeek-R1: 72.0 (#143), Solar Pro4: 72.7 (#132)
| Benchmark | DeepSeek-R1 | Solar Pro4 |
|---|---|---|
| LMArena Instruction Following | 1382 | 1377 |
| LiveBench Instruction Following | 80.5% | — |
| IFEval | 78.4% | — |
Long Context DeepSeek-R1 leads
DeepSeek-R1: 45.4 (#36), Solar Pro4: 42.1 (#130)
| Benchmark | DeepSeek-R1 | Solar Pro4 |
|---|---|---|
| LMArena Longer Query | 1391 | 1381 |
| Fiction.LiveBench | 75% | — |
Writing & Preference DeepSeek-R1 leads
DeepSeek-R1: 61.4 (#88), Solar Pro4: 56.5 (#138)
| Benchmark | DeepSeek-R1 | Solar Pro4 |
|---|---|---|
| LMArena Text | 1428 | 1386 |
| LMArena Creative Writing | 1405 | 1316 |
| LMArena Multi-Turn | 1405 | 1385 |
| Short-Story Creative Writing | 83% | — |
| EQ-Bench Creative Writing | 1500 | — |
| WildBench | 82.8% | — |
| LiveBench Language | 48.5% | — |
Frequently asked questions
Is DeepSeek-R1 better than Solar Pro4?
DeepSeek-R1 and Solar Pro4 score almost the same on the Noometry Index (42.3 vs 42.1), so choose on price, context window or the category you care about most.
Which is cheaper, DeepSeek-R1 or Solar Pro4?
Solar Pro4 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; DeepSeek-R1 lists at $0.50 and $2.15.
Is DeepSeek-R1 or Solar Pro4 better for coding?
DeepSeek-R1 scores higher on coding benchmarks: 46.3 versus 40.1 in the Noometry coding category.
Which has the bigger context window?
Solar Pro4 does, with 524K tokens against 164K.
How many benchmarks do DeepSeek-R1 and Solar Pro4 share?
17 benchmarks have published results for both models. DeepSeek-R1 has 52 scored results on Noometry and Solar Pro4 has 18.