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Mercury 2 vs Morph V3 Fast

Mercury 2 costs 1.6x less per output token than Morph V3 Fast ($0.75 vs $1.20 per million). Updated October 21, 2026; no benchmark has tested both models yet.

Mercury 2Inception
Coding
No data
Overall
No data
Output $/M
$0.75
Morph V3 FastMorph
Coding
No data
Overall
No data
Output $/M
$1.20
vs $0.75 vs $1.20 per 1M output tokens. Mercury 2 is 1.6x cheaper.

Mercury 2 or Morph V3 Fast: which to pick

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

Pick Mercury 2 for output tokens 1.6x cheaper ($0.75 vs $1.20 per million).

No benchmark has tested both yet. Mercury 2 has results on LMArena WebDev, AA Coding Index and SciCode; Morph V3 Fast 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 2 not benchmarked, Morph V3 Fast 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 2 $0.75 against Morph V3 Fast $1.20 per million output tokens, 1.6x apart.
Context window
Mercury 2 takes 128K tokens, Morph V3 Fast 262K.

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 Index10 boards measured
Coding benchmarks for Mercury 2 and Morph V3 Fast
BenchmarkMercury 2Morph V3 FastLeader
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 29 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Intelligence benchmarks for Mercury 2 and Morph V3 Fast
BenchmarkMercury 2Morph V3 FastLeader
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 measured
Agentic work benchmarks for Mercury 2 and Morph V3 Fast
BenchmarkMercury 2Morph V3 FastLeader
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 39 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
Reasoning benchmarks for Mercury 2 and Morph V3 Fast
BenchmarkMercury 2Morph V3 FastLeader
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 17 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
Knowledge benchmarks for Mercury 2 and Morph V3 Fast
BenchmarkMercury 2Morph V3 FastLeader
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 15 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards measured
Web design benchmarks for Mercury 2 and Morph V3 Fast
BenchmarkMercury 2Morph V3 FastLeader
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 art988Not 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 measured
General benchmarks for Mercury 2 and Morph V3 Fast
BenchmarkMercury 2Morph V3 FastLeader
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

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
Morph V3 Fast$0.0014Fits in one request

Mercury 2 costs less

Repository review

50K input + 3K output tokens

Mercury 2$0.015Fits in one request
Morph V3 Fast$0.044Fits in one request

Mercury 2 costs less

Agent loop

200K input + 10K output tokens

Mercury 2$0.058Exceeds the context window
Morph V3 Fast$0.172Fits in one request

Mercury 2 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 Morph V3 Fast
SpecificationInception Mercury 2Morph V3 Fast
MakerInceptionMorph
WeightsNo public weights listedNo public weights listed
ReleasedMarch 4, 2026July 7, 2025
Context window128K262K
Input $/Mtok$0.25$0.80
Output $/Mtok$0.75$1.20
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Mercury 2 better than Morph V3 Fast for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Mercury 2 for output tokens 1.6x cheaper ($0.75 vs $1.20 per million).

Which is cheaper, Mercury 2 or Morph V3 Fast?

Mercury 2 costs $0.25 per million input tokens and $0.75 per million output tokens; Morph V3 Fast costs $0.80 and $1.20. Cost per solved task is known for neither of them.

Which has the bigger context window, Mercury 2 or Morph V3 Fast?

Morph V3 Fast, with 262K tokens against 128K.

Has any benchmark tested both Mercury 2 and Morph V3 Fast?

No benchmark has tested both yet. Mercury 2 has results on LMArena WebDev, AA Coding Index and SciCode; Morph V3 Fast has none yet. Compare them on price and context instead. Data as of October 21, 2026.

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