Enter opens the highlighted result. Esc closes.

Mercury 2 vs Extract

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.

Mercury 2Inception
Coding
No data
Overall
10.8
Output $/M
$0.75
S ExtractScaledown
Coding
No data
Overall
No data
Output $/M
No data
vs 128K vs 1M context window. Extract fits 7.8x more.

Decision reading

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

Compare them on price, context and the boards below.

Shared results
0
Mercury 2 only
42
Extract 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
Mercury 2 not benchmarked, Extract 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
Mercury 2 $0.75 against Extract Free per million output tokens.
Context window
Mercury 2 takes 128K tokens, Extract 1M.

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 Index10 boards, none shared
Coding benchmarks for Mercury 2 and Extract
BenchmarkMercury 2ExtractLeader
LMArena WebDev1171Not measuredOnly Mercury 2 measured
AA Coding Index31.1Not measuredOnly Mercury 2 measured
SciCode37.7%Not measuredOnly Mercury 2 measured
Terminal-Bench Hard (Artificial Analysis run)26.5%Not measuredOnly Mercury 2 measured
WeirdML43.2%Not measuredOnly Mercury 2 measured
ALE-Bench785.6Not measuredOnly Mercury 2 measured
LMArena Text: coding1390Not measuredOnly Mercury 2 measured
LMArena Text: software and IT1385Not measuredOnly Mercury 2 measured
LMArena WebDev: React1160Not measuredOnly Mercury 2 measured
LMArena WebDev: HTML1199Not measuredOnly Mercury 2 measured
Neither model has a result on the other 28 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for Mercury 2 and Extract
BenchmarkMercury 2ExtractLeader
AA Intelligence Index10.8Not measuredOnly Mercury 2 measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Agentic work benchmarks for Mercury 2 and Extract
BenchmarkMercury 2ExtractLeader
AA Agentic Index1.6Not measuredOnly Mercury 2 measured
τ²-Bench Telecom70.8%Not measuredOnly Mercury 2 measured
Neither model has a result on the other 37 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Reasoning benchmarks for Mercury 2 and Extract
BenchmarkMercury 2ExtractLeader
GPQA Diamond (Artificial Analysis run)77.0%Not measuredOnly Mercury 2 measured
Humanity's Last Exam (Artificial Analysis run)17.1%Not measuredOnly Mercury 2 measured
LMArena Text: hard prompts1362Not measuredOnly Mercury 2 measured
LMArena Text: expert1358Not measuredOnly Mercury 2 measured
LMArena Text: hard prompts in English1374Not measuredOnly Mercury 2 measured
Neither model has a result on the other 16 boards here
MathNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Math benchmarks for Mercury 2 and Extract
BenchmarkMercury 2ExtractLeader
Neither model has a result on 13 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Knowledge benchmarks for Mercury 2 and Extract
BenchmarkMercury 2ExtractLeader
LMArena Text: science1343Not measuredOnly Mercury 2 measured
LMArena Text: medicine and healthcare1363Not measuredOnly Mercury 2 measured
LMArena Text: business and finance1349Not measuredOnly Mercury 2 measured
Neither model has a result on the other 14 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Mercury 2 and Extract
BenchmarkMercury 2ExtractLeader
Design Arena: websites1036Not measuredOnly Mercury 2 measured
Design Arena: UI components998Not measuredOnly Mercury 2 measured
Design Arena: game dev985Not measuredOnly Mercury 2 measured
Design Arena: data viz1009Not measuredOnly Mercury 2 measured
Design Arena: 3D983Not measuredOnly Mercury 2 measured
Design Arena: all code categories1022Not measuredOnly Mercury 2 measured
Design Arena: SVG998Not measuredOnly Mercury 2 measured
Design Arena: ASCII art990Not measuredOnly Mercury 2 measured
Neither model has a result on the other 1 board here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index13 boards, none shared
General benchmarks for Mercury 2 and Extract
BenchmarkMercury 2ExtractLeader
IFBench69.8%Not measuredOnly Mercury 2 measured
Long context reasoning (AA-LCR)43.7%Not measuredOnly Mercury 2 measured
LMArena Text1354Not measuredOnly Mercury 2 measured
LMArena Text: instruction following1328Not measuredOnly Mercury 2 measured
LMArena Text: creative writing1286Not measuredOnly Mercury 2 measured
LMArena Text: English1378Not measuredOnly Mercury 2 measured
LMArena Text: non-English1330Not measuredOnly Mercury 2 measured
LMArena Text: Chinese1414Not measuredOnly Mercury 2 measured
LMArena Text: Russian1304Not measuredOnly Mercury 2 measured
LMArena Text: multi-turn1357Not measuredOnly Mercury 2 measured
LMArena Text: longer queries1329Not measuredOnly Mercury 2 measured
LMArena Text: writing and language1300Not measuredOnly Mercury 2 measured
LMArena Text: entertainment and media1314Not measuredOnly Mercury 2 measured
Neither model has a result on the other 33 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Mercury 2 and Extract
BenchmarkMercury 2ExtractLeader
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

Mercury 2$0.0006Fits in one request
Extract$0.0000Fits in one request

Extract costs less

Repository review

50K input + 3K output tokens

Mercury 2$0.015Fits in one request
Extract$0.0020Fits in one request

Extract costs less

Agent loop

200K input + 10K output tokens

Mercury 2$0.058Exceeds the context window
Extract$0.0080Fits in one request

Extract 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 2 and Extract
SpecificationInception Mercury 2ScaleDown Extract
MakerInceptionScaledown
WeightsNo public weights listedNo public weights listed
ReleasedMarch 4, 2026October 13, 2026
Context window128K1M
Input $/Mtok$0.25$0.04
Output $/Mtok$0.75Free
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Mercury 2 better than Extract for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, Mercury 2 or Extract?

Mercury 2 costs $0.25 per million input tokens and $0.75 per million output tokens; Extract costs $0.04 and Free. Cost per solved task is known for neither of them.

Which has the bigger context window, Mercury 2 or Extract?

Extract, with 1M tokens against 128K.

How many benchmarks is the Mercury 2 vs Extract comparison based on?

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

Compare next