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MiniMax-01 vs Sonar Pro

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.

MiniMax-01MiniMax
Coding
No data
Overall
No data
Output $/M
$1.10
Sonar ProPerplexity
Coding
No data
Overall
7.6
Output $/M
$15.00
vs $1.10 vs $15.00 per 1M output tokens. MiniMax-01 is 13.6x cheaper.

Decision reading

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

MiniMax-01 has the edge where output tokens cost 13.6x less, and where the context window is larger, 1M against 200K tokens.

Shared results
0
MiniMax-01 only
0
Sonar Pro only
5
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
MiniMax-01 not benchmarked, Sonar Pro 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
MiniMax-01 $1.10 against Sonar Pro $15.00 per million output tokens, 13.6x apart.
Context window
MiniMax-01 takes 1M tokens, Sonar Pro 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 Index1 board, none shared
Coding benchmarks for MiniMax-01 and Sonar Pro
BenchmarkMiniMax-01Sonar ProLeader
LiveCodeBench (Artificial Analysis run)Not measured27.5%Only Sonar Pro measured
Neither model has a result on the other 37 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for MiniMax-01 and Sonar Pro
BenchmarkMiniMax-01Sonar ProLeader
AA Intelligence IndexNot measured7.6Only Sonar Pro measured
Neither model has a result on the other 1 board here
Agentic workNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Agentic work benchmarks for MiniMax-01 and Sonar Pro
BenchmarkMiniMax-01Sonar ProLeader
Neither model has a result on 39 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Reasoning benchmarks for MiniMax-01 and Sonar Pro
BenchmarkMiniMax-01Sonar ProLeader
GPQA Diamond (Artificial Analysis run)Not measured57.8%Only Sonar Pro measured
Humanity's Last Exam (Artificial Analysis run)Not measured6.6%Only Sonar Pro 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 MiniMax-01 and Sonar Pro
BenchmarkMiniMax-01Sonar ProLeader
Neither model has a result on 13 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Knowledge benchmarks for MiniMax-01 and Sonar Pro
BenchmarkMiniMax-01Sonar ProLeader
MMLU Pro (Artificial Analysis run)Not measured75.5%Only Sonar Pro 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 MiniMax-01 and Sonar Pro
BenchmarkMiniMax-01Sonar ProLeader
Neither model has a result on 9 boards here
GeneralNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
General benchmarks for MiniMax-01 and Sonar Pro
BenchmarkMiniMax-01Sonar ProLeader
Neither model has a result on 46 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for MiniMax-01 and Sonar Pro
BenchmarkMiniMax-01Sonar 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

MiniMax-01$0.0008Fits in one request
Sonar Pro$0.011Fits in one request

MiniMax-01 costs less

Repository review

50K input + 3K output tokens

MiniMax-01$0.013Fits in one request
Sonar Pro$0.195Fits in one request

MiniMax-01 costs less

Agent loop

200K input + 10K output tokens

MiniMax-01$0.051Fits in one request
Sonar Pro$0.750Exceeds the context window

MiniMax-01 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 MiniMax-01 and Sonar Pro
SpecificationMiniMax-01Perplexity Sonar Pro
MakerMiniMaxPerplexity
WeightsOpen weightsNo public weights listed
ReleasedJanuary 15, 2025March 7, 2025
Context window1M200K
Input $/Mtok$0.20$3.00
Output $/Mtok$1.10$15.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is MiniMax-01 better than Sonar Pro for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. MiniMax-01 has the edge where output tokens cost 13.6x less, and where the context window is larger, 1M against 200K tokens.

Which is cheaper, MiniMax-01 or Sonar Pro?

MiniMax-01 costs $0.20 per million input tokens and $1.10 per million output tokens; Sonar Pro costs $3.00 and $15.00. Cost per solved task is known for neither of them.

Which has the bigger context window, MiniMax-01 or Sonar Pro?

MiniMax-01, with 1M tokens against 200K.

How many benchmarks is the MiniMax-01 vs Sonar Pro comparison based on?

0 benchmarks have a result for both models as of October 21, 2026. MiniMax-01's coding index rests on 0 independent benchmarks and Sonar Pro's on 0. Where only one model has a result, the page says so instead of naming a winner.

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