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Mercury 2 vs Mistral Large

Updated October 21, 2026. 22 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Mercury 2 Replace Mistral Large
Mercury 2Inception
Coding
No data
Overall
10.8
Output $/M
$0.75
22
Mistral LargeMistral AI
Coding
No data
Overall
5.8
Output $/M
$6.00
0
vs boards won of 22 shared

Decision reading

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

Mercury 2 has the edge where output tokens cost 8.0x less.

Model AMercury 2InceptionNot benchmarked1 independent benchmarkNo cost per solved taskModel BMistral LargeMistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
22
Mercury 2 only
20
Mistral Large only
22
Like-for-like categories
5 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, Mistral Large not benchmarked.
Widest category
Reasoning, 23.1 points apart on average over 5 shared benchmarks.
Widest single gap
GPQA Diamond (Artificial Analysis run): Mercury 2 77.0% against Mistral Large 35.1%, 41.9 points apart on a 0 to 100 scale.
Output price
Mercury 2 $0.75 against Mistral Large $6.00 per million output tokens, 8.0x apart.
Context window
Both take 128K tokens.

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.

Boards won, where both have a result
CategoryMercury 2BarsMistral LargeTies
Coding20
Intelligence10
Reasoning50
Knowledge30
General110
All shared boards220
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Mercury 2 and Mistral Large
BenchmarkMercury 2Mistral LargeLeader
LMArena WebDev1171Not measuredOnly Mercury 2 measured
AA Coding Index31.1Not measuredOnly Mercury 2 measured
LiveCodeBench (Vals AI)Not measured37.1%Only Mistral Large measured
LiveCodeBench (Artificial Analysis run)Not measured17.8%Only Mistral Large 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: coding13901275Mercury 2
LMArena Text: software and IT13851274Mercury 2
LMArena WebDev: React1160Not measuredOnly Mercury 2 measured
LMArena WebDev: HTML1199Not measuredOnly Mercury 2 measured
Neither model has a result on the other 26 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Mercury 2 and Mistral Large
BenchmarkMercury 2Mistral LargeLeader
AA Intelligence Index10.85.8Mercury 2
Epoch Capabilities IndexNot measured122.1Only Mistral Large measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Agentic work benchmarks for Mercury 2 and Mistral Large
BenchmarkMercury 2Mistral LargeLeader
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
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for Mercury 2 and Mistral Large
BenchmarkMercury 2Mistral LargeLeader
GPQA DiamondNot measured47.7%Only Mistral Large measured
GPQA Diamond (Artificial Analysis run)77.0%35.1%Mercury 2
Humanity's Last Exam (Artificial Analysis run)17.1%3.5%Mercury 2
LMArena Text: hard prompts13621257Mercury 2
LMArena Text: expert13581208Mercury 2
LMArena Text: hard prompts in English13741268Mercury 2
Neither model has a result on the other 15 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Math benchmarks for Mercury 2 and Mistral Large
BenchmarkMercury 2Mistral LargeLeader
AIMENot measured9.2%Only Mistral Large measured
MATH 500 (Vals AI)Not measured74.4%Only Mistral Large measured
MGSM (Vals AI)Not measured87.2%Only Mistral Large measured
LMArena Text: mathNot measured1261Only Mistral Large measured
LMArena Text: mathematical workNot measured1257Only Mistral Large measured
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index30
Knowledge benchmarks for Mercury 2 and Mistral Large
BenchmarkMercury 2Mistral LargeLeader
MMLU ProNot measured69.7%Only Mistral Large measured
TaxEval (Vals AI)Not measured63.8%Only Mistral Large measured
MedQA (Vals AI)Not measured76.2%Only Mistral Large measured
MMLU Pro (Artificial Analysis run)Not measured51.5%Only Mistral Large measured
MMLUNot measured68.8%Only Mistral Large measured
LMArena Text: science13431260Mercury 2
LMArena Text: medicine and healthcare13631255Mercury 2
LMArena Text: legal and governmentNot measured1275Only Mistral Large measured
LMArena Text: business and finance13491238Mercury 2
Neither model has a result on the other 8 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Mercury 2 and Mistral Large
BenchmarkMercury 2Mistral LargeLeader
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
GeneralLike-for-likePublic boards, shown as published, kept out of the index110
General benchmarks for Mercury 2 and Mistral Large
BenchmarkMercury 2Mistral LargeLeader
IFBench69.8%Not measuredOnly Mercury 2 measured
Long context reasoning (AA-LCR)43.7%Not measuredOnly Mercury 2 measured
DTBenchNot measured60.8%Only Mistral Large measured
LMArena Text13541265Mercury 2
LMArena Text: instruction following13281249Mercury 2
LMArena Text: creative writing12861242Mercury 2
LMArena Text: English13781284Mercury 2
LMArena Text: non-English13301235Mercury 2
LMArena Text: Chinese14141239Mercury 2
LMArena Text: GermanNot measured1242Only Mistral Large measured
LMArena Text: JapaneseNot measured1170Only Mistral Large measured
LMArena Text: KoreanNot measured1202Only Mistral Large measured
LMArena Text: FrenchNot measured1325Only Mistral Large measured
LMArena Text: SpanishNot measured1268Only Mistral Large measured
LMArena Text: Russian13041252Mercury 2
LMArena Text: PolishNot measured1157Only Mistral Large measured
LMArena Text: multi-turn13571260Mercury 2
LMArena Text: longer queries13291261Mercury 2
LMArena Text: writing and language13001261Mercury 2
LMArena Text: entertainment and media13141230Mercury 2
Neither model has a result on the other 26 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Mercury 2 and Mistral Large
BenchmarkMercury 2Mistral LargeLeader
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
Mistral Large$0.0050Fits in one request

Mercury 2 costs less

Repository review

50K input + 3K output tokens

Mercury 2$0.015Fits in one request
Mistral Large$0.118Fits in one request

Mercury 2 costs less

Agent loop

200K input + 10K output tokens

Mercury 2$0.058Exceeds the context window
Mistral Large$0.460Exceeds the context window

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 Mistral Large
SpecificationInception Mercury 2Mistral Large
MakerInceptionMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedMarch 4, 2026February 26, 2024
Context window128K128K
Input $/Mtok$0.25$2.00
Output $/Mtok$0.75$6.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Mercury 2 better than Mistral Large for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Mercury 2 has the edge where output tokens cost 8.0x less.

Which is cheaper, Mercury 2 or Mistral Large?

Mercury 2 costs $0.25 per million input tokens and $0.75 per million output tokens; Mistral Large costs $2.00 and $6.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Mercury 2 or Mistral Large?

Neither: both take 128K tokens.

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

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

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