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Ling 3.0 Flash vs Sonar Reasoning Pro

Ling 3.0 Flash leads Sonar Reasoning Pro on the Artificial Analysis Intelligence Index, 20.1 to 11.8, and Ling 3.0 Flash costs 65.8x less per output token ($0.1215 vs $8.00 per million). Updated October 21, 2026; 1 benchmarks have a result for both.

Ling 3.0 FlashinclusionAI
Coding
29.6
Overall
No data
Output $/M
$0.1215
1
Sonar Reasoning ProPerplexity
Coding
No data
Overall
No data
Output $/M
$8.00
0
vs boards won of 1 shared

Ling 3.0 Flash or Sonar Reasoning Pro: which to pick

Only Ling 3.0 Flash has a coding score, 29.6 on the Vibe Coding Index; Sonar Reasoning Pro has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Shared results
1
Ling 3.0 Flash only
23
Sonar Reasoning Pro only
0
Like-for-like categories
1 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
Ling 3.0 Flash 29.6 from 2 benchmarks, Sonar Reasoning Pro not benchmarked.
Widest category
Intelligence, 8.3 points apart on average over 1 shared benchmark.
Widest single gap
AA Intelligence Index: Ling 3.0 Flash 20.1 against Sonar Reasoning Pro 11.8, 8.3 points apart on a 0 to 100 scale.
Output price
Ling 3.0 Flash $0.1215 against Sonar Reasoning Pro $8.00 per million output tokens, 65.8x apart.
Context window
Ling 3.0 Flash takes 262K tokens, Sonar Reasoning Pro 128K.

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
CategoryLing 3.0 FlashBarsSonar Reasoning ProTies
Intelligence10
All shared boards10
CodingDirectional onlySix of these boards feed the Vibe Coding Index8 boards, none shared
Coding benchmarks for Ling 3.0 Flash and Sonar Reasoning Pro
BenchmarkLing 3.0 FlashSonar Reasoning ProLeader
AA Coding Index50.6Not measuredOnly Ling 3.0 Flash measured
LiveCodeBench (Vals AI)84.0%Not measuredOnly Ling 3.0 Flash measured
SWE-bench Verified (Vals AI)65.2%Not measuredOnly Ling 3.0 Flash measured
Vibe Code Bench (Vals AI)2.9%Not measuredOnly Ling 3.0 Flash measured
Code migration (Vals AI)0.0%Not measuredOnly Ling 3.0 Flash measured
Terminal-Bench 2.1 (Vals AI)50.2%Not measuredOnly Ling 3.0 Flash measured
SkillsBench (Vals AI)27.9%Not measuredOnly Ling 3.0 Flash measured
SciCode42.0%Not measuredOnly Ling 3.0 Flash measured
Neither model has a result on the other 31 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Ling 3.0 Flash and Sonar Reasoning Pro
BenchmarkLing 3.0 FlashSonar Reasoning ProLeader
AA Intelligence Index20.111.8Ling 3.0 Flash
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Agentic work benchmarks for Ling 3.0 Flash and Sonar Reasoning Pro
BenchmarkLing 3.0 FlashSonar Reasoning ProLeader
AA Agentic Index19.3Not measuredOnly Ling 3.0 Flash measured
Finance Agent (Vals AI)30.3%Not measuredOnly Ling 3.0 Flash measured
Legal Research Bench (Vals AI)0.0%Not measuredOnly Ling 3.0 Flash measured
Excel Modeling Benchmark (Vals AI)25.0%Not measuredOnly Ling 3.0 Flash measured
Neither model has a result on the other 37 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Reasoning benchmarks for Ling 3.0 Flash and Sonar Reasoning Pro
BenchmarkLing 3.0 FlashSonar Reasoning ProLeader
GPQA Diamond84.8%Not measuredOnly Ling 3.0 Flash measured
GPQA Diamond (Artificial Analysis run)85.5%Not measuredOnly Ling 3.0 Flash measured
Humanity's Last Exam (Artificial Analysis run)23.7%Not measuredOnly Ling 3.0 Flash measured
Neither model has a result on the other 19 boards here
MathNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Math benchmarks for Ling 3.0 Flash and Sonar Reasoning Pro
BenchmarkLing 3.0 FlashSonar Reasoning ProLeader
Neither model has a result on 13 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Knowledge benchmarks for Ling 3.0 Flash and Sonar Reasoning Pro
BenchmarkLing 3.0 FlashSonar Reasoning ProLeader
MMLU Pro82.0%Not measuredOnly Ling 3.0 Flash measured
LegalBench (Vals AI)79.7%Not measuredOnly Ling 3.0 Flash measured
CorpFin (Vals AI)61.9%Not measuredOnly Ling 3.0 Flash measured
TaxEval (Vals AI)70.7%Not measuredOnly Ling 3.0 Flash measured
MedCode (Vals AI)32.3%Not measuredOnly Ling 3.0 Flash measured
Neither model has a result on the other 13 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Ling 3.0 Flash and Sonar Reasoning Pro
BenchmarkLing 3.0 FlashSonar Reasoning ProLeader
Neither model has a result on 9 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
General benchmarks for Ling 3.0 Flash and Sonar Reasoning Pro
BenchmarkLing 3.0 FlashSonar Reasoning ProLeader
Public Benefits Bench (Vals AI)50.7%Not measuredOnly Ling 3.0 Flash measured
MedScribe (Vals AI)80.9%Not measuredOnly Ling 3.0 Flash measured
Long context reasoning (AA-LCR)73.0%Not measuredOnly Ling 3.0 Flash measured
Neither model has a result on the other 43 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Ling 3.0 Flash and Sonar Reasoning Pro
BenchmarkLing 3.0 FlashSonar Reasoning ProLeader
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

Ling 3.0 Flash$0.0001Fits in one request
Sonar Reasoning Pro$0.0060Fits in one request

Ling 3.0 Flash costs less

Repository review

50K input + 3K output tokens

Ling 3.0 Flash$0.0024Fits in one request
Sonar Reasoning Pro$0.124Fits in one request

Ling 3.0 Flash costs less

Agent loop

200K input + 10K output tokens

Ling 3.0 Flash$0.0093Fits in one request
Sonar Reasoning Pro$0.480Exceeds the context window

Ling 3.0 Flash 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 Ling 3.0 Flash and Sonar Reasoning Pro
SpecificationinclusionAI Ling 3.0 FlashPerplexity Sonar Reasoning Pro
MakerinclusionAIPerplexity
WeightsOpen weightsNo public weights listed
ReleasedJuly 23, 2026March 7, 2025
Context window262K128K
Input $/Mtok$0.0405$2.00
Output $/Mtok$0.1215$8.00
Coding index29.6Not benchmarked
Independent measurements behind it20
Cost per solved task$0.05Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Ling 3.0 Flash better than Sonar Reasoning Pro for coding?

Only Ling 3.0 Flash has a coding score, 29.6 on the Vibe Coding Index; Sonar Reasoning Pro has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, Ling 3.0 Flash or Sonar Reasoning Pro?

Ling 3.0 Flash costs $0.0405 per million input tokens and $0.1215 per million output tokens; Sonar Reasoning Pro costs $2.00 and $8.00. Cost per solved task is known for Ling 3.0 Flash only.

Which has the bigger context window, Ling 3.0 Flash or Sonar Reasoning Pro?

Ling 3.0 Flash, with 262K tokens against 128K.

How many benchmarks is the Ling 3.0 Flash vs Sonar Reasoning Pro comparison based on?

1 benchmarks have a result for both models as of October 21, 2026. Ling 3.0 Flash's coding index rests on 2 independent benchmarks and Sonar Reasoning Pro's on 0. Where only one model has a result, the page says so instead of naming a winner.

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