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Qwen3.5-122B-A10B vs Solar Pro 3

Qwen3.5-122B-A10B leads Solar Pro 3 on the Artificial Analysis Intelligence Index, 17.7 to 7.8, and Solar Pro 3 costs 3.5x less per output token ($0.60 vs $2.08 per million). Updated October 22, 2026; 9 benchmarks have a result for both.

Qwen3.5-122B-A10BQwen
Coding
No data
Overall
No data
Output $/M
$2.08
9
Solar Pro 3Upstage
Coding
No data
Overall
No data
Output $/M
$0.60
0
vs boards won of 9 shared

Qwen3.5-122B-A10B or Solar Pro 3: which to pick

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

Pick Qwen3.5-122B-A10B for a larger context window (262K against 131K tokens).

Shared results
9
Qwen3.5-122B-A10B only
42
Solar Pro 3 only
1
Like-for-like categories
5 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
Qwen3.5-122B-A10B not benchmarked, Solar Pro 3 not benchmarked.
Widest category
General, 24.3 points apart on average over 2 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): Qwen3.5-122B-A10B 76.3% against Solar Pro 3 32.3%, 44.0 points apart on a 0 to 100 scale.
Output price
Qwen3.5-122B-A10B $2.08 against Solar Pro 3 $0.60 per million output tokens, 3.5x apart.
Context window
Qwen3.5-122B-A10B takes 262K tokens, Solar Pro 3 131K.

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
CategoryQwen3.5-122B-A10BBarsSolar Pro 3Ties
Coding30
Intelligence10
Agentic work10
Reasoning20
General20
All shared boards90
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for Qwen3.5-122B-A10B and Solar Pro 3
BenchmarkQwen3.5-122B-A10BSolar Pro 3Leader
LMArena WebDev1361Not measuredOnly Qwen3.5-122B-A10B measured
AA Coding Index43.316.2Qwen3.5-122B-A10B
SciCode39.7%25.5%Qwen3.5-122B-A10B
Terminal-Bench Hard (Artificial Analysis run)31.1%7.6%Qwen3.5-122B-A10B
LMArena Text: coding1436Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: software and IT1436Not measuredOnly Qwen3.5-122B-A10B measured
LMArena WebDev: React1353Not measuredOnly Qwen3.5-122B-A10B measured
LMArena WebDev: HTML1351Not measuredOnly Qwen3.5-122B-A10B measured
Neither model has a result on the other 35 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Qwen3.5-122B-A10B and Solar Pro 3
BenchmarkQwen3.5-122B-A10BSolar Pro 3Leader
AA Intelligence Index17.77.8Qwen3.5-122B-A10B
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Qwen3.5-122B-A10B and Solar Pro 3
BenchmarkQwen3.5-122B-A10BSolar Pro 3Leader
AA Agentic IndexNot measured1.4Only Solar Pro 3 measured
τ²-Bench Telecom93.6%86.3%Qwen3.5-122B-A10B
Neither model has a result on the other 40 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
Reasoning benchmarks for Qwen3.5-122B-A10B and Solar Pro 3
BenchmarkQwen3.5-122B-A10BSolar Pro 3Leader
GPQA Diamond (Artificial Analysis run)85.7%72.4%Qwen3.5-122B-A10B
Humanity's Last Exam (Artificial Analysis run)25.2%10.3%Qwen3.5-122B-A10B
Mystery game puzzles17.0%Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: hard prompts1421Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: expert1431Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: hard prompts in English1431Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Vision: diagrams1249Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Vision: homework1261Not measuredOnly Qwen3.5-122B-A10B measured
Neither model has a result on the other 15 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Math benchmarks for Qwen3.5-122B-A10B and Solar Pro 3
BenchmarkQwen3.5-122B-A10BSolar Pro 3Leader
LMArena Text: math1431Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: mathematical work1431Not measuredOnly Qwen3.5-122B-A10B measured
Neither model has a result on the other 12 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Knowledge benchmarks for Qwen3.5-122B-A10B and Solar Pro 3
BenchmarkQwen3.5-122B-A10BSolar Pro 3Leader
LMArena Text: science1432Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: medicine and healthcare1423Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: legal and government1422Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: business and finance1414Not measuredOnly Qwen3.5-122B-A10B measured
Neither model has a result on the other 16 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Qwen3.5-122B-A10B and Solar Pro 3
BenchmarkQwen3.5-122B-A10BSolar Pro 3Leader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index20
General benchmarks for Qwen3.5-122B-A10B and Solar Pro 3
BenchmarkQwen3.5-122B-A10BSolar Pro 3Leader
IFBench75.7%71.2%Qwen3.5-122B-A10B
Long context reasoning (AA-LCR)76.3%32.3%Qwen3.5-122B-A10B
DTBench84.3%Not measuredOnly Qwen3.5-122B-A10B measured
LMCA32.2%Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text1417Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: instruction following1399Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: creative writing1368Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Vision1244Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: English1428Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: non-English1401Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: Chinese1463Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: German1425Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: Japanese1367Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: Korean1353Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: French1443Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: Spanish1425Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: Russian1400Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: Polish1398Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: multi-turn1416Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: longer queries1410Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: writing and language1387Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: entertainment and media1366Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Vision: English1249Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Vision: Chinese1301Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Vision: reading text1251Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Vision: humor1243Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Vision: creative writing1220Not measuredOnly Qwen3.5-122B-A10B measured
Neither model has a result on the other 21 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Qwen3.5-122B-A10B and Solar Pro 3
BenchmarkQwen3.5-122B-A10BSolar Pro 3Leader
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

Qwen3.5-122B-A10B$0.0013Fits in one request
Solar Pro 3$0.0004Fits in one request

Solar Pro 3 costs less

Repository review

50K input + 3K output tokens

Qwen3.5-122B-A10B$0.019Fits in one request
Solar Pro 3$0.0093Fits in one request

Solar Pro 3 costs less

Agent loop

200K input + 10K output tokens

Qwen3.5-122B-A10B$0.073Fits in one request
Solar Pro 3$0.036Exceeds the context window

Solar Pro 3 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 Qwen3.5-122B-A10B and Solar Pro 3
SpecificationQwen3.5-122B-A10BUpstage Solar Pro 3
MakerQwenUpstage
WeightsOpen weightsNo public weights listed
ReleasedFebruary 25, 2026January 27, 2026
Context window262K131K
Input $/Mtok$0.26$0.15
Output $/Mtok$2.08$0.60
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Qwen3.5-122B-A10B better than Solar Pro 3 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Qwen3.5-122B-A10B for a larger context window (262K against 131K tokens).

Which is cheaper, Qwen3.5-122B-A10B or Solar Pro 3?

Qwen3.5-122B-A10B costs $0.26 per million input tokens and $2.08 per million output tokens; Solar Pro 3 costs $0.15 and $0.60. Cost per solved task is known for neither of them.

Which has the bigger context window, Qwen3.5-122B-A10B or Solar Pro 3?

Qwen3.5-122B-A10B, with 262K tokens against 131K.

How many benchmarks is the Qwen3.5-122B-A10B vs Solar Pro 3 comparison based on?

9 benchmarks have a result for both models as of October 22, 2026. Qwen3.5-122B-A10B's coding index rests on 1 independent benchmark and Solar Pro 3's on 0. Where only one model has a result, the page says so instead of naming a winner.

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