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Kimi K2 0711 vs Sonar Pro Search

Updated October 21, 2026. 0 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Kimi K2 0711Moonshot AI
Coding
No data
Overall
12.7
Output $/M
$2.30
Sonar Pro SearchPerplexity
Coding
No data
Overall
No data
Output $/M
$15.00
vs $2.30 vs $15.00 per 1M output tokens. Kimi K2 0711 is 6.5x cheaper.

Decision reading

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

Kimi K2 0711 has the edge where output tokens cost 6.5x less.

Shared results
0
Kimi K2 0711 only
36
Sonar Pro Search only
0
Like-for-like categories
0 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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
Kimi K2 0711 not benchmarked, Sonar Pro Search not benchmarked.
Widest category
No category has a result for both models.
Widest single gap
No benchmark has a result for both models.
Output price
Kimi K2 0711 $2.30 against Sonar Pro Search $15.00 per million output tokens, 6.5x apart.
Context window
Kimi K2 0711 takes 131K tokens, Sonar Pro Search 200K.

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.

CodingDirectional onlySix of these boards feed the Vibe Coding Index8 boards, none shared
Coding benchmarks for Kimi K2 0711 and Sonar Pro Search
BenchmarkKimi K2 0711Sonar Pro SearchLeader
Aider polyglot59.1%Not measuredOnly Kimi K2 0711 measured
SWE-bench Verified71.2%Not measuredOnly Kimi K2 0711 measured
LiveCodeBench (Vals AI)70.5%Not measuredOnly Kimi K2 0711 measured
LiveCodeBench (Artificial Analysis run)55.6%Not measuredOnly Kimi K2 0711 measured
Terminal-Bench Hard (Artificial Analysis run)15.9%Not measuredOnly Kimi K2 0711 measured
Terminal-Bench27.8%Not measuredOnly Kimi K2 0711 measured
GSO-Bench4.9%Not measuredOnly Kimi K2 0711 measured
WeirdML39.4%Not measuredOnly Kimi K2 0711 measured
Neither model has a result on the other 30 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Kimi K2 0711 and Sonar Pro Search
BenchmarkKimi K2 0711Sonar Pro SearchLeader
AA Intelligence Index12.7Not measuredOnly Kimi K2 0711 measured
Epoch Capabilities Index140.0Not measuredOnly Kimi K2 0711 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Agentic work benchmarks for Kimi K2 0711 and Sonar Pro Search
BenchmarkKimi K2 0711Sonar Pro SearchLeader
τ²-Bench Telecom61.1%Not measuredOnly Kimi K2 0711 measured
Neither model has a result on the other 38 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Reasoning benchmarks for Kimi K2 0711 and Sonar Pro Search
BenchmarkKimi K2 0711Sonar Pro SearchLeader
GPQA Diamond71.5%Not measuredOnly Kimi K2 0711 measured
GPQA Diamond (Artificial Analysis run)76.6%Not measuredOnly Kimi K2 0711 measured
Humanity's Last Exam (Artificial Analysis run)7.4%Not measuredOnly Kimi K2 0711 measured
SimpleBench26.3%Not measuredOnly Kimi K2 0711 measured
Neither model has a result on the other 17 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Math benchmarks for Kimi K2 0711 and Sonar Pro Search
BenchmarkKimi K2 0711Sonar Pro SearchLeader
AIME62.7%Not measuredOnly Kimi K2 0711 measured
MATH 500 (Vals AI)94.2%Not measuredOnly Kimi K2 0711 measured
MGSM (Vals AI)91.0%Not measuredOnly Kimi K2 0711 measured
AA Math Index57.0Not measuredOnly Kimi K2 0711 measured
AIME 2025 (Artificial Analysis run)57.0%Not measuredOnly Kimi K2 0711 measured
Neither model has a result on the other 8 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Knowledge benchmarks for Kimi K2 0711 and Sonar Pro Search
BenchmarkKimi K2 0711Sonar Pro SearchLeader
MMLU Pro79.4%Not measuredOnly Kimi K2 0711 measured
LegalBench (Vals AI)81.5%Not measuredOnly Kimi K2 0711 measured
CorpFin (Vals AI)50.4%Not measuredOnly Kimi K2 0711 measured
TaxEval (Vals AI)70.2%Not measuredOnly Kimi K2 0711 measured
MedQA (Vals AI)84.0%Not measuredOnly Kimi K2 0711 measured
MMLU Pro (Artificial Analysis run)82.4%Not measuredOnly Kimi K2 0711 measured
Neither model has a result on the other 11 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Web design benchmarks for Kimi K2 0711 and Sonar Pro Search
BenchmarkKimi K2 0711Sonar Pro SearchLeader
Design Arena: websites1050Not measuredOnly Kimi K2 0711 measured
Design Arena: UI components1030Not measuredOnly Kimi K2 0711 measured
Design Arena: game dev974Not measuredOnly Kimi K2 0711 measured
Design Arena: data viz1018Not measuredOnly Kimi K2 0711 measured
Design Arena: all code categories1033Not measuredOnly Kimi K2 0711 measured
Neither model has a result on the other 4 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
General benchmarks for Kimi K2 0711 and Sonar Pro Search
BenchmarkKimi K2 0711Sonar Pro SearchLeader
IFBench41.5%Not measuredOnly Kimi K2 0711 measured
Long context reasoning (AA-LCR)53.0%Not measuredOnly Kimi K2 0711 measured
Fiction.LiveBench61.1%Not measuredOnly Kimi K2 0711 measured
Creative writing (Lech Mazur)85.6%Not measuredOnly Kimi K2 0711 measured
CL-bench11.9%Not measuredOnly Kimi K2 0711 measured
Neither model has a result on the other 41 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Kimi K2 0711 and Sonar Pro Search
BenchmarkKimi K2 0711Sonar Pro SearchLeader
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

Kimi K2 0711$0.0017Fits in one request
Sonar Pro Search$0.011Fits in one request

Kimi K2 0711 costs less

Repository review

50K input + 3K output tokens

Kimi K2 0711$0.035Fits in one request
Sonar Pro Search$0.195Fits in one request

Kimi K2 0711 costs less

Agent loop

200K input + 10K output tokens

Kimi K2 0711$0.137Exceeds the context window
Sonar Pro Search$0.750Exceeds the context window

Kimi K2 0711 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 Kimi K2 0711 and Sonar Pro Search
SpecificationMoonshotAI Kimi K2 0711Perplexity Sonar Pro Search
MakerMoonshot AIPerplexity
WeightsOpen weightsNo public weights listed
ReleasedJuly 11, 2025October 30, 2025
Context window131K200K
Input $/Mtok$0.57$3.00
Output $/Mtok$2.30$15.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Kimi K2 0711 better than Sonar Pro Search for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Kimi K2 0711 has the edge where output tokens cost 6.5x less.

Which is cheaper, Kimi K2 0711 or Sonar Pro Search?

Kimi K2 0711 costs $0.57 per million input tokens and $2.30 per million output tokens; Sonar Pro Search costs $3.00 and $15.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Kimi K2 0711 or Sonar Pro Search?

Sonar Pro Search, with 200K tokens against 131K.

How many benchmarks is the Kimi K2 0711 vs Sonar Pro Search comparison based on?

0 benchmarks have a result for both models as of October 21, 2026. Kimi K2 0711's coding index rests on 0 independent benchmarks and Sonar Pro Search's on 0. Where only one model has a result, the page says so instead of naming a winner.

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