Llama 3.3 Euryale 70B vs Solar Pro 4
Solar Pro 4 costs 1.3x less per output token than Llama 3.3 Euryale 70B ($0.60 vs $0.75 per million). Updated November 14, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.75
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.60
Llama 3.3 Euryale 70B or Solar Pro 4: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Compare them on price, context and the boards below.
No benchmark has tested both yet. Llama 3.3 Euryale 70B has none yet; Solar Pro 4 on LMArena WebDev, AA Coding Index and SciCode. Compare them on price and context instead.
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
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
No call
Only Solar Pro 4 has a AA Intelligence Index result, 28.2.
Directional only
Web design
Design Arena: websites
No call
Only Solar Pro 4 has a Design Arena: websites result, 1163.
Directional only
Long documents
Listed context window
Solar Pro 4
Solar Pro 4 takes 524K tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Solar Pro 4
Llama 3.3 Euryale 70B $0.0010, Solar Pro 4 $0.0004 per turn.
List prices
At a glance
- Coding index
- Llama 3.3 Euryale 70B not benchmarked, Solar Pro 4 not benchmarked.
- Widest category
- None yet: no category has been tested on both models.
- Widest single gap
- None yet: no benchmark has tested both models.
- Output price
- Llama 3.3 Euryale 70B $0.75 against Solar Pro 4 $0.60 per million output tokens, 1.3x apart.
- Context window
- Llama 3.3 Euryale 70B takes 131K tokens, Solar Pro 4 524K.
Benchmark by benchmark
Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.
CodingDirectional onlySix of these boards feed the Vibe Coding Index10 boards measured
| Benchmark | Llama 3.3 Euryale 70B | Solar Pro 4 | Leader |
|---|---|---|---|
| LMArena WebDev | Not measured | 1369 | Only Solar Pro 4 measured |
| AA Coding Index | Not measured | 52.7 | Only Solar Pro 4 measured |
| SciCode | Not measured | 48.0% | Only Solar Pro 4 measured |
| Terminal-Bench 4.0 (Artificial Analysis run) | Not measured | 0.0% | Only Solar Pro 4 measured |
| FrontierCode 2.0 | Not measured | 4.1% | Only Solar Pro 4 measured |
| ALE-Bench | Not measured | 179.3 | Only Solar Pro 4 measured |
| LMArena Text: coding | Not measured | 1437 | Only Solar Pro 4 measured |
| LMArena Text: software and IT | Not measured | 1428 | Only Solar Pro 4 measured |
| LMArena WebDev: React | Not measured | 1361 | Only Solar Pro 4 measured |
| LMArena WebDev: HTML | Not measured | 1371 | Only Solar Pro 4 measured |
| Neither model has a result on the other 42 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Llama 3.3 Euryale 70B | Solar Pro 4 | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 28.2 | Only Solar Pro 4 measured |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Llama 3.3 Euryale 70B | Solar Pro 4 | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | Not measured | 1081 | Only Solar Pro 4 measured |
| Neither model has a result on the other 43 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index7 boards measured
| Benchmark | Llama 3.3 Euryale 70B | Solar Pro 4 | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | Not measured | 89.1% | Only Solar Pro 4 measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 29.8% | Only Solar Pro 4 measured |
| HLE-Diamond (Artificial Analysis run) | Not measured | 4.7% | Only Solar Pro 4 measured |
| CritPt v2, hard subset (Artificial Analysis run) | Not measured | 18.0% | Only Solar Pro 4 measured |
| LMArena Text: hard prompts | Not measured | 1399 | Only Solar Pro 4 measured |
| LMArena Text: expert | Not measured | 1425 | Only Solar Pro 4 measured |
| LMArena Text: hard prompts in English | Not measured | 1428 | Only Solar Pro 4 measured |
| Neither model has a result on the other 19 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Llama 3.3 Euryale 70B | Solar Pro 4 | Leader |
|---|---|---|---|
| LMArena Text: math | Not measured | 1416 | Only Solar Pro 4 measured |
| LMArena Text: mathematical work | Not measured | 1424 | Only Solar Pro 4 measured |
| Neither model has a result on the other 12 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
| Benchmark | Llama 3.3 Euryale 70B | Solar Pro 4 | Leader |
|---|---|---|---|
| AA-Omniscience | Not measured | 1.4 | Only Solar Pro 4 measured |
| LMArena Text: science | Not measured | 1402 | Only Solar Pro 4 measured |
| LMArena Text: medicine and healthcare | Not measured | 1376 | Only Solar Pro 4 measured |
| LMArena Text: legal and government | Not measured | 1386 | Only Solar Pro 4 measured |
| LMArena Text: business and finance | Not measured | 1380 | Only Solar Pro 4 measured |
| Neither model has a result on the other 16 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards measured
| Benchmark | Llama 3.3 Euryale 70B | Solar Pro 4 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1163 | Only Solar Pro 4 measured |
| Design Arena: UI components | Not measured | 1140 | Only Solar Pro 4 measured |
| Design Arena: game dev | Not measured | 1168 | Only Solar Pro 4 measured |
| Design Arena: data viz | Not measured | 1174 | Only Solar Pro 4 measured |
| Design Arena: 3D | Not measured | 1159 | Only Solar Pro 4 measured |
| Design Arena: all code categories | Not measured | 1170 | Only Solar Pro 4 measured |
| Neither model has a result on the other 3 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index19 boards measured
| Benchmark | Llama 3.3 Euryale 70B | Solar Pro 4 | Leader |
|---|---|---|---|
| Long context reasoning (AA-LCR) | Not measured | 70.7% | Only Solar Pro 4 measured |
| GDPval-AA | Not measured | 1106 | Only Solar Pro 4 measured |
| LMArena Text | Not measured | 1388 | Only Solar Pro 4 measured |
| LMArena Text: instruction following | Not measured | 1375 | Only Solar Pro 4 measured |
| LMArena Text: creative writing | Not measured | 1317 | Only Solar Pro 4 measured |
| LMArena Text: English | Not measured | 1415 | Only Solar Pro 4 measured |
| LMArena Text: non-English | Not measured | 1362 | Only Solar Pro 4 measured |
| LMArena Text: Chinese | Not measured | 1428 | Only Solar Pro 4 measured |
| LMArena Text: German | Not measured | 1351 | Only Solar Pro 4 measured |
| LMArena Text: Japanese | Not measured | 1323 | Only Solar Pro 4 measured |
| LMArena Text: Korean | Not measured | 1382 | Only Solar Pro 4 measured |
| LMArena Text: French | Not measured | 1409 | Only Solar Pro 4 measured |
| LMArena Text: Spanish | Not measured | 1412 | Only Solar Pro 4 measured |
| LMArena Text: Russian | Not measured | 1353 | Only Solar Pro 4 measured |
| LMArena Text: Polish | Not measured | 1302 | Only Solar Pro 4 measured |
| LMArena Text: multi-turn | Not measured | 1389 | Only Solar Pro 4 measured |
| LMArena Text: longer queries | Not measured | 1380 | Only Solar Pro 4 measured |
| LMArena Text: writing and language | Not measured | 1344 | Only Solar Pro 4 measured |
| LMArena Text: entertainment and media | Not measured | 1330 | Only Solar Pro 4 measured |
| Neither model has a result on the other 30 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 | Sao10K Llama 3.3 Euryale 70B | Upstage Solar Pro 4 |
|---|---|---|
| Maker | Sao10K | Upstage |
| Weights | Open weights | No public weights listed |
| Released | December 18, 2024 | August 10, 2026 |
| Context window | 131K | 524K |
| Input $/Mtok | $0.65 | $0.15 |
| Output $/Mtok | $0.75 | $0.60 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Llama 3.3 Euryale 70B better than Solar Pro 4 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Compare them on price, context and the boards below.
Which is cheaper, Llama 3.3 Euryale 70B or Solar Pro 4?
Llama 3.3 Euryale 70B costs $0.65 per million input tokens and $0.75 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, Llama 3.3 Euryale 70B or Solar Pro 4?
Solar Pro 4, with 524K tokens against 131K.
Has any benchmark tested both Llama 3.3 Euryale 70B and Solar Pro 4?
No benchmark has tested both yet. Llama 3.3 Euryale 70B has none yet; Solar Pro 4 on LMArena WebDev, AA Coding Index and SciCode. Compare them on price and context instead. Data as of November 14, 2026.