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Llama 3.3 70B Instruct vs Solar Pro 4

Solar Pro 4 leads Llama 3.3 70B Instruct on the Artificial Analysis Intelligence Index, 28.2 to 7.7, and Solar Pro 4 costs 1.2x less per output token ($0.60 vs $0.72 per million). Updated October 21, 2026; 33 benchmarks have a result for both.

Replace Llama 3.3 70B Instruct Replace Solar Pro 4
Llama 3.3 70B InstructMeta Llama
Coding
No data
Overall
26.0
Output $/M
$0.72
0
Solar Pro 4Upstage
Coding
No data
Overall
No data
Output $/M
$0.60
33
vs boards won of 33 shared

Llama 3.3 70B Instruct or Solar Pro 4: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Llama 3.3 70B Instruct for work measured by AA Coding Index or LMArena Text: coding, where it leads.

Model ALlama 3.3 70B InstructMeta LlamaNot benchmarkedNo coding benchmarkNo cost per solved taskModel BSolar Pro 4UpstageNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
33
Llama 3.3 70B Instruct only
19
Solar Pro 4 only
12
Like-for-like categories
6 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.

At a glance

Coding index
Llama 3.3 70B Instruct not benchmarked, Solar Pro 4 not benchmarked.
Widest category
Coding, 31.8 points apart on average over 3 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): Llama 3.3 70B Instruct 15.7% against Solar Pro 4 70.7%, 55.0 points apart on a 0 to 100 scale.
Output price
Llama 3.3 70B Instruct $0.72 against Solar Pro 4 $0.60 per million output tokens, 1.2x apart.
Context window
Llama 3.3 70B Instruct takes 131K 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.

Boards won, where both have a result
CategoryLlama 3.3 70B InstructBarsSolar Pro 4Ties
Coding03
Intelligence01
Reasoning05
Math02
Knowledge04
General018
All shared boards033
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for Llama 3.3 70B Instruct and Solar Pro 4
BenchmarkLlama 3.3 70B InstructSolar Pro 4Leader
LMArena WebDevNot measured1371Only Solar Pro 4 measured
AA Coding Index11.952.7Solar Pro 4
LiveCodeBench (Artificial Analysis run)28.8%Not measuredOnly Llama 3.3 70B Instruct measured
SciCodeNot measured48.0%Only Solar Pro 4 measured
Terminal-Bench Hard (Artificial Analysis run)3.0%Not measuredOnly Llama 3.3 70B Instruct measured
WeirdML14.4%Not measuredOnly Llama 3.3 70B Instruct measured
ALE-BenchNot measured179.3Only Solar Pro 4 measured
LMArena Text: coding12681438Solar Pro 4
LMArena Text: software and IT12731431Solar Pro 4
LMArena WebDev: ReactNot measured1363Only Solar Pro 4 measured
LMArena WebDev: HTMLNot measured1371Only Solar Pro 4 measured
Neither model has a result on the other 28 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Llama 3.3 70B Instruct and Solar Pro 4
BenchmarkLlama 3.3 70B InstructSolar Pro 4Leader
AA Intelligence Index7.728.2Solar Pro 4
Epoch Capabilities Index127.3Not measuredOnly Llama 3.3 70B Instruct measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Agentic work benchmarks for Llama 3.3 70B Instruct and Solar Pro 4
BenchmarkLlama 3.3 70B InstructSolar Pro 4Leader
Design Arena: agents building web appsNot measured1105Only Solar Pro 4 measured
τ²-Bench Telecom26.6%Not measuredOnly Llama 3.3 70B Instruct measured
BALROG23.0%Not measuredOnly Llama 3.3 70B Instruct measured
Berkeley Function Calling Leaderboard (BFCL)31.9%Not measuredOnly Llama 3.3 70B Instruct measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for Llama 3.3 70B Instruct and Solar Pro 4
BenchmarkLlama 3.3 70B InstructSolar Pro 4Leader
GPQA Diamond (Artificial Analysis run)49.8%89.1%Solar Pro 4
Humanity's Last Exam (Artificial Analysis run)3.6%29.8%Solar Pro 4
GPQA Diamond (Epoch AI run)47.4%Not measuredOnly Llama 3.3 70B Instruct measured
SimpleBench19.9%Not measuredOnly Llama 3.3 70B Instruct measured
LMArena Text: hard prompts12571400Solar Pro 4
LMArena Text: expert12251428Solar Pro 4
LMArena Text: hard prompts in English12771427Solar Pro 4
Neither model has a result on the other 15 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Llama 3.3 70B Instruct and Solar Pro 4
BenchmarkLlama 3.3 70B InstructSolar Pro 4Leader
AA Math Index7.7Not measuredOnly Llama 3.3 70B Instruct measured
AIME 2025 (Artificial Analysis run)7.7%Not measuredOnly Llama 3.3 70B Instruct measured
OTIS Mock AIME5.1%Not measuredOnly Llama 3.3 70B Instruct measured
MATH level 541.6%Not measuredOnly Llama 3.3 70B Instruct measured
LMArena Text: math12671421Solar Pro 4
LMArena Text: mathematical work12671427Solar Pro 4
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Llama 3.3 70B Instruct and Solar Pro 4
BenchmarkLlama 3.3 70B InstructSolar Pro 4Leader
MMLU Pro (Artificial Analysis run)71.3%Not measuredOnly Llama 3.3 70B Instruct measured
MMLU86.3%Not measuredOnly Llama 3.3 70B Instruct measured
LMArena Text: science12841404Solar Pro 4
LMArena Text: medicine and healthcare12751374Solar Pro 4
LMArena Text: legal and government12841383Solar Pro 4
LMArena Text: business and finance12431381Solar Pro 4
Neither model has a result on the other 12 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for Llama 3.3 70B Instruct and Solar Pro 4
BenchmarkLlama 3.3 70B InstructSolar Pro 4Leader
Design Arena: websitesNot measured1176Only Solar Pro 4 measured
Design Arena: UI componentsNot measured1150Only Solar Pro 4 measured
Design Arena: game devNot measured1170Only Solar Pro 4 measured
Design Arena: data vizNot measured1177Only Solar Pro 4 measured
Design Arena: 3DNot measured1178Only Solar Pro 4 measured
Design Arena: all code categoriesNot measured1182Only 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 index018
General benchmarks for Llama 3.3 70B Instruct and Solar Pro 4
BenchmarkLlama 3.3 70B InstructSolar Pro 4Leader
IFBench47.1%Not measuredOnly Llama 3.3 70B Instruct measured
Long context reasoning (AA-LCR)15.7%70.7%Solar Pro 4
DTBench59.5%Not measuredOnly Llama 3.3 70B Instruct measured
LMCA17.5%Not measuredOnly Llama 3.3 70B Instruct measured
Fiction.LiveBench33.3%Not measuredOnly Llama 3.3 70B Instruct measured
LMArena Text12741388Solar Pro 4
LMArena Text: instruction following12421375Solar Pro 4
LMArena Text: creative writing12501317Solar Pro 4
LMArena Text: English13031414Solar Pro 4
LMArena Text: non-English12361363Solar Pro 4
LMArena Text: Chinese12171422Solar Pro 4
LMArena Text: German12511358Solar Pro 4
LMArena Text: Japanese11501320Solar Pro 4
LMArena Text: Korean11421383Solar Pro 4
LMArena Text: French12821400Solar Pro 4
LMArena Text: Spanish12691409Solar Pro 4
LMArena Text: Russian12521357Solar Pro 4
LMArena Text: Polish12591304Solar Pro 4
LMArena Text: multi-turn12801385Solar Pro 4
LMArena Text: longer queries12551382Solar Pro 4
LMArena Text: writing and language12551344Solar Pro 4
LMArena Text: entertainment and media12411332Solar Pro 4
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
Image generation benchmarks for Llama 3.3 70B Instruct and Solar Pro 4
BenchmarkLlama 3.3 70B InstructSolar Pro 4Leader
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

Llama 3.3 70B Instruct$0.0008Fits in one request
Solar Pro 4$0.0004Fits in one request

Solar Pro 4 costs less

Repository review

50K input + 3K output tokens

Llama 3.3 70B Instruct$0.025Fits in one request
Solar Pro 4$0.0093Fits in one request

Solar Pro 4 costs less

Agent loop

200K input + 10K output tokens

Llama 3.3 70B Instruct$0.097Exceeds the context window
Solar Pro 4$0.036Fits in one request

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.

Specifications of Llama 3.3 70B Instruct and Solar Pro 4
SpecificationMeta Llama 3.3 70B InstructUpstage Solar Pro 4
MakerMeta LlamaUpstage
WeightsOpen weightsNo public weights listed
ReleasedDecember 6, 2024August 10, 2026
Context window131K524K
Input $/Mtok$0.45$0.15
Output $/Mtok$0.72$0.60
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Llama 3.3 70B Instruct better than Solar Pro 4 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Llama 3.3 70B Instruct for work measured by AA Coding Index or LMArena Text: coding, where it leads.

Which is cheaper, Llama 3.3 70B Instruct or Solar Pro 4?

Llama 3.3 70B Instruct costs $0.45 per million input tokens and $0.72 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 70B Instruct or Solar Pro 4?

Solar Pro 4, with 524K tokens against 131K.

How many benchmarks is the Llama 3.3 70B Instruct vs Solar Pro 4 comparison based on?

33 benchmarks have a result for both models as of October 21, 2026. Llama 3.3 70B Instruct's coding index rests on 0 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.

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