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Mercury 3 vs Cydonia 24B V4.1

Mercury 3 costs 1.4x less per output token than Cydonia 24B V4.1 ($0.35 vs $0.50 per million). Updated October 23, 2026; no benchmark has tested both models yet.

Mercury 3Inception
Coding
29.3
Overall
No data
Output $/M
$0.35
T Cydonia 24B V4.1TheDrummer
Coding
No data
Overall
No data
Output $/M
$0.50
vs $0.35 vs $0.50 per 1M output tokens. Mercury 3 is 1.4x cheaper.

Mercury 3 or Cydonia 24B V4.1: which to pick

Only Mercury 3 has a coding score, 29.3 on the Vibe Coding Index; Cydonia 24B V4.1 has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

No benchmark has tested both yet. Mercury 3 has results on Terminal-Bench 4 (Vals AI), Vibe Code Bench (Vals AI) and Tax Agent Bench (Vals AI); Cydonia 24B V4.1 has none yet. Compare them on price and context instead.

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
Mercury 3 29.3 from 2 benchmarks, Cydonia 24B V4.1 not benchmarked.
Widest category
None yet: no category has been tested on both models.
Widest single gap
None yet: no benchmark has tested both models.
Output price
Mercury 3 $0.35 against Cydonia 24B V4.1 $0.50 per million output tokens, 1.4x apart.
Context window
Mercury 3 takes 1M tokens, Cydonia 24B V4.1 131K.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

CodingDirectional onlySix of these boards feed the Vibe Coding Index2 boards measured
Coding benchmarks for Mercury 3 and Cydonia 24B V4.1
BenchmarkMercury 3Cydonia 24B V4.1Leader
Terminal-Bench 4 (Vals AI)3.0%Not measuredOnly Mercury 3 measured
Vibe Code Bench (Vals AI)60.9%Not measuredOnly Mercury 3 measured
Neither model has a result on the other 41 boards here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
Agentic work benchmarks for Mercury 3 and Cydonia 24B V4.1
BenchmarkMercury 3Cydonia 24B V4.1Leader
Tax Agent Bench (Vals AI)18.2%Not measuredOnly Mercury 3 measured
Legal Research Bench (Vals AI)28.9%Not measuredOnly Mercury 3 measured
Harvey's Legal Agent Benchmark (Vals AI)5.0%Not measuredOnly Mercury 3 measured
Neither model has a result on the other 39 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards measured
Web design benchmarks for Mercury 3 and Cydonia 24B V4.1
BenchmarkMercury 3Cydonia 24B V4.1Leader
Design Arena: websites1226Not measuredOnly Mercury 3 measured
Design Arena: UI components1247Not measuredOnly Mercury 3 measured
Design Arena: game dev1227Not measuredOnly Mercury 3 measured
Design Arena: data viz1201Not measuredOnly Mercury 3 measured
Design Arena: all code categories1231Not measuredOnly Mercury 3 measured
Design Arena: SVG1174Not measuredOnly Mercury 3 measured
Neither model has a result on the other 3 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
General benchmarks for Mercury 3 and Cydonia 24B V4.1
BenchmarkMercury 3Cydonia 24B V4.1Leader
Vals Index43.7%Not measuredOnly Mercury 3 measured
Neither model has a result on the other 47 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

Mercury 3$0.0003Fits in one request
Cydonia 24B V4.1$0.0006Fits in one request

Mercury 3 costs less

Repository review

50K input + 3K output tokens

Mercury 3$0.0060Fits in one request
Cydonia 24B V4.1$0.017Fits in one request

Mercury 3 costs less

Agent loop

200K input + 10K output tokens

Mercury 3$0.024Fits in one request
Cydonia 24B V4.1$0.065Exceeds the context window

Mercury 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 Mercury 3 and Cydonia 24B V4.1
SpecificationInception Mercury 3TheDrummer Cydonia 24B V4.1
MakerInceptionTheDrummer
WeightsNo public weights listedOpen weights
ReleasedOctober 16, 2026September 27, 2025
Context window1M131K
Input $/Mtok$0.10$0.30
Output $/Mtok$0.35$0.50
Coding index29.3Not benchmarked
Independent measurements behind it20
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Mercury 3 better than Cydonia 24B V4.1 for coding?

Only Mercury 3 has a coding score, 29.3 on the Vibe Coding Index; Cydonia 24B V4.1 has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, Mercury 3 or Cydonia 24B V4.1?

Mercury 3 costs $0.10 per million input tokens and $0.35 per million output tokens; Cydonia 24B V4.1 costs $0.30 and $0.50. Cost per solved task is known for neither of them.

Which has the bigger context window, Mercury 3 or Cydonia 24B V4.1?

Mercury 3, with 1M tokens against 131K.

Has any benchmark tested both Mercury 3 and Cydonia 24B V4.1?

No benchmark has tested both yet. Mercury 3 has results on Terminal-Bench 4 (Vals AI), Vibe Code Bench (Vals AI) and Tax Agent Bench (Vals AI); Cydonia 24B V4.1 has none yet. Compare them on price and context instead. Data as of October 23, 2026.

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