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Mercury 2.5 vs Reka Flash 3

Mercury 2.5 leads Reka Flash 3 on the Artificial Analysis Intelligence Index, 12.3 to 6.4, and Mercury 2.5 costs 1.3x less per output token ($0.15 vs $0.20 per million). Updated October 22, 2026; 3 benchmarks have a result for both.

Mercury 2.5Inception
Coding
1.6
Overall
No data
Output $/M
$0.15
3
Reka Flash 3Reka
Coding
No data
Overall
No data
Output $/M
$0.20
0
vs boards won of 3 shared

Mercury 2.5 or Reka Flash 3: which to pick

Only Mercury 2.5 has a coding score, 1.6 on the Vibe Coding Index; Reka Flash 3 has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Shared results
3
Mercury 2.5 only
19
Reka Flash 3 only
9
Like-for-like categories
3 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, Reka Flash 3 not benchmarked.
Widest category
General, 71.7 points apart on average over 1 shared benchmark.
Widest single gap
Long context reasoning (AA-LCR): Mercury 2.5 71.7% against Reka Flash 3 0.0%, 71.7 points apart on a 0 to 100 scale.
Output price
Mercury 2.5 $0.15 against Reka Flash 3 $0.20 per million output tokens, 1.3x apart.
Context window
Mercury 2.5 takes 260K tokens, Reka Flash 3 66K.

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 2.5BarsReka Flash 3Ties
Intelligence10
Reasoning10
General10
All shared boards30
CodingDirectional onlySix of these boards feed the Vibe Coding Index11 boards, none shared
Coding benchmarks for Mercury 2.5 and Reka Flash 3
BenchmarkMercury 2.5Reka Flash 3Leader
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
LiveCodeBench (Artificial Analysis run)Not measured43.5%Only Reka Flash 3 measured
SciCode38.5%Not measuredOnly Mercury 2.5 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured0.0%Only Reka Flash 3 measured
ALE-Bench301.6Not measuredOnly Mercury 2.5 measured
Neither model has a result on the other 32 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Mercury 2.5 and Reka Flash 3
BenchmarkMercury 2.5Reka Flash 3Leader
AA Intelligence Index12.36.4Mercury 2.5
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Agentic work benchmarks for Mercury 2.5 and Reka Flash 3
BenchmarkMercury 2.5Reka Flash 3Leader
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
τ²-Bench TelecomNot measured0.0%Only Reka Flash 3 measured
BALROGNot measured29.2%Only Reka Flash 3 measured
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index10
Reasoning benchmarks for Mercury 2.5 and Reka Flash 3
BenchmarkMercury 2.5Reka Flash 3Leader
GPQA Diamond (Artificial Analysis run)Not measured52.9%Only Reka Flash 3 measured
Humanity's Last Exam (Artificial Analysis run)11.8%4.4%Mercury 2.5
Neither model has a result on the other 21 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Math benchmarks for Mercury 2.5 and Reka Flash 3
BenchmarkMercury 2.5Reka Flash 3Leader
AA Math IndexNot measured33.7Only Reka Flash 3 measured
AIME 2025 (Artificial Analysis run)Not measured33.7%Only Reka Flash 3 measured
ProofBench3.0%Not measuredOnly Mercury 2.5 measured
Neither model has a result on the other 11 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Knowledge benchmarks for Mercury 2.5 and Reka Flash 3
BenchmarkMercury 2.5Reka Flash 3Leader
LegalBench (Vals AI)83.1%Not measuredOnly Mercury 2.5 measured
MedCode (Vals AI)31.3%Not measuredOnly Mercury 2.5 measured
MMLU Pro (Artificial Analysis run)Not measured66.9%Only Reka Flash 3 measured
Neither model has a result on the other 17 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Mercury 2.5 and Reka Flash 3
BenchmarkMercury 2.5Reka Flash 3Leader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
General benchmarks for Mercury 2.5 and Reka Flash 3
BenchmarkMercury 2.5Reka Flash 3Leader
Public Benefits Bench (Vals AI)45.3%Not measuredOnly Mercury 2.5 measured
MedScribe (Vals AI)55.1%Not measuredOnly Mercury 2.5 measured
IFBenchNot measured30.4%Only Reka Flash 3 measured
Long context reasoning (AA-LCR)71.7%0.0%Mercury 2.5
Neither model has a result on the other 44 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 Reka Flash 3
BenchmarkMercury 2.5Reka Flash 3Leader
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
Reka Flash 3$0.0002Fits in one request

Mercury 2.5 costs less

Repository review

50K input + 3K output tokens

Mercury 2.5$0.0024Fits in one request
Reka Flash 3$0.0056Fits in one request

Mercury 2.5 costs less

Agent loop

200K input + 10K output tokens

Mercury 2.5$0.0095Fits in one request
Reka Flash 3$0.022Exceeds the context window

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 Reka Flash 3
SpecificationInception Mercury 2.5Reka Flash 3
MakerInceptionReka
WeightsNo public weights listedOpen weights
ReleasedSeptember 8, 2026March 12, 2025
Context window260K66K
Input $/Mtok$0.04$0.10
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 Reka Flash 3 for coding?

Only Mercury 2.5 has a coding score, 1.6 on the Vibe Coding Index; Reka Flash 3 has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, Mercury 2.5 or Reka Flash 3?

Mercury 2.5 costs $0.04 per million input tokens and $0.15 per million output tokens; Reka Flash 3 costs $0.10 and $0.20. Cost per solved task is known for neither of them.

Which has the bigger context window, Mercury 2.5 or Reka Flash 3?

Mercury 2.5, with 260K tokens against 66K.

How many benchmarks is the Mercury 2.5 vs Reka Flash 3 comparison based on?

3 benchmarks have a result for both models as of October 22, 2026. Mercury 2.5's coding index rests on 2 independent benchmarks and Reka Flash 3's on 0. Where only one model has a result, the page says so instead of naming a winner.

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