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Mercury 2.5 vs Solar Mini 4

Solar Mini 4 leads Mercury 2.5 on the Artificial Analysis Intelligence Index, 24.1 to 12.3, and Mercury 2.5 costs 1.3x less per output token ($0.15 vs $0.20 per million). Updated October 22, 2026; 4 benchmarks have a result for both.

Mercury 2.5Inception
Coding
1.6
Overall
No data
Output $/M
$0.15
0
Solar Mini 4Upstage
Coding
No data
Overall
No data
Output $/M
$0.20
4
vs boards won of 4 shared

Mercury 2.5 or Solar Mini 4: which to pick

Only Mercury 2.5 has a coding score, 1.6 on the Vibe Coding Index; Solar Mini 4 has none, so the two cannot be ranked on coding.

Pick Solar Mini 4 for a larger context window (524K against 260K tokens) and work measured by SciCode or AA Intelligence Index, where it leads.

Shared results
4
Mercury 2.5 only
18
Solar Mini 4 only
3
Like-for-like categories
4 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

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 2.5 1.6 from 2 benchmarks, Solar Mini 4 not benchmarked.
Widest category
Reasoning, 14.0 points apart on average over 1 shared benchmark.
Widest single gap
Humanity's Last Exam (Artificial Analysis run): Mercury 2.5 11.8% against Solar Mini 4 25.8%, 14.0 points apart on a 0 to 100 scale.
Output price
Mercury 2.5 $0.15 against Solar Mini 4 $0.20 per million output tokens, 1.3x apart.
Context window
Mercury 2.5 takes 260K tokens, Solar Mini 4 524K.

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 2.5BarsSolar Mini 4Ties
Coding01
Intelligence01
Reasoning01
General01
All shared boards04
CodingLike-for-likeSix of these boards feed the Vibe Coding Index01
Coding benchmarks for Mercury 2.5 and Solar Mini 4
BenchmarkMercury 2.5Solar Mini 4Leader
Terminal-Bench 4 (Vals AI)0.0%Not measuredOnly Mercury 2.5 measured
Vibe Code Bench (Vals AI)3.7%Not measuredOnly Mercury 2.5 measured
Code migration (Vals AI)4.5%Not measuredOnly Mercury 2.5 measured
IOI (Vals AI)2.4%Not measuredOnly Mercury 2.5 measured
Terminal-Bench 2.1 (Vals AI)34.5%Not measuredOnly Mercury 2.5 measured
SkillsBench (Vals AI)18.1%Not measuredOnly Mercury 2.5 measured
CyberBench (Vals AI)45.5%Not measuredOnly Mercury 2.5 measured
SciCode38.5%47.6%Solar Mini 4
ALE-Bench301.6Not measuredOnly Mercury 2.5 measured
Neither model has a result on the other 30 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Mercury 2.5 and Solar Mini 4
BenchmarkMercury 2.5Solar Mini 4Leader
AA Intelligence Index12.324.1Solar Mini 4
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Agentic work benchmarks for Mercury 2.5 and Solar Mini 4
BenchmarkMercury 2.5Solar Mini 4Leader
Finance Agent (Vals AI)18.9%Not measuredOnly Mercury 2.5 measured
Tax Agent Bench (Vals AI)2.5%Not measuredOnly Mercury 2.5 measured
Legal Research Bench (Vals AI)4.3%Not measuredOnly Mercury 2.5 measured
Excel Modeling Benchmark (Vals AI)8.8%Not measuredOnly Mercury 2.5 measured
Terminal-Bench-Science (Vals AI)0.0%Not measuredOnly Mercury 2.5 measured
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index01
Reasoning benchmarks for Mercury 2.5 and Solar Mini 4
BenchmarkMercury 2.5Solar Mini 4Leader
Humanity's Last Exam (Artificial Analysis run)11.8%25.8%Solar Mini 4
Neither model has a result on the other 21 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Math benchmarks for Mercury 2.5 and Solar Mini 4
BenchmarkMercury 2.5Solar Mini 4Leader
ProofBench3.0%Not measuredOnly Mercury 2.5 measured
Neither model has a result on the other 12 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Knowledge benchmarks for Mercury 2.5 and Solar Mini 4
BenchmarkMercury 2.5Solar Mini 4Leader
LegalBench (Vals AI)83.1%Not measuredOnly Mercury 2.5 measured
MedCode (Vals AI)31.3%Not measuredOnly Mercury 2.5 measured
Neither model has a result on the other 16 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Web design benchmarks for Mercury 2.5 and Solar Mini 4
BenchmarkMercury 2.5Solar Mini 4Leader
Design Arena: websitesNot measured1158Only Solar Mini 4 measured
Design Arena: game devNot measured1106Only Solar Mini 4 measured
Design Arena: all code categoriesNot measured1150Only Solar Mini 4 measured
Neither model has a result on the other 6 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index01
General benchmarks for Mercury 2.5 and Solar Mini 4
BenchmarkMercury 2.5Solar Mini 4Leader
Public Benefits Bench (Vals AI)45.3%Not measuredOnly Mercury 2.5 measured
MedScribe (Vals AI)55.1%Not measuredOnly Mercury 2.5 measured
Long context reasoning (AA-LCR)71.7%83.3%Solar Mini 4
Neither model has a result on the other 43 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Mercury 2.5 and Solar Mini 4
BenchmarkMercury 2.5Solar Mini 4Leader
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 2.5$0.0001Fits in one request
Solar Mini 4$0.0001Fits in one request

Mercury 2.5 costs less

Repository review

50K input + 3K output tokens

Mercury 2.5$0.0024Fits in one request
Solar Mini 4$0.0031Fits in one request

Mercury 2.5 costs less

Agent loop

200K input + 10K output tokens

Mercury 2.5$0.0095Fits in one request
Solar Mini 4$0.012Fits in one request

Mercury 2.5 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 2.5 and Solar Mini 4
SpecificationInception Mercury 2.5Upstage Solar Mini 4
MakerInceptionUpstage
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 8, 2026September 23, 2026
Context window260K524K
Input $/Mtok$0.04$0.05
Output $/Mtok$0.15$0.20
Coding index1.6Not benchmarked
Independent measurements behind it20
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Mercury 2.5 better than Solar Mini 4 for coding?

Only Mercury 2.5 has a coding score, 1.6 on the Vibe Coding Index; Solar Mini 4 has none, so the two cannot be ranked on coding. Pick Solar Mini 4 for a larger context window (524K against 260K tokens) and work measured by SciCode or AA Intelligence Index, where it leads.

Which is cheaper, Mercury 2.5 or Solar Mini 4?

Mercury 2.5 costs $0.04 per million input tokens and $0.15 per million output tokens; Solar Mini 4 costs $0.05 and $0.20. Cost per solved task is known for neither of them.

Which has the bigger context window, Mercury 2.5 or Solar Mini 4?

Solar Mini 4, with 524K tokens against 260K.

How many benchmarks is the Mercury 2.5 vs Solar Mini 4 comparison based on?

4 benchmarks have a result for both models as of October 22, 2026. Mercury 2.5's coding index rests on 2 independent benchmarks and Solar Mini 4's on 0. Where only one model has a result, the page says so instead of naming a winner.

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