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Step 3.7 Flash vs Pareto 26.10 Preview

Step 3.7 Flash costs 2.8x less per output token than Pareto 26.10 Preview ($1.15 vs $3.20 per million). Updated November 14, 2026; 1 benchmarks have a result for both.

Step 3.7 FlashStepFun
Coding
No data
Overall
No data
Output $/M
$1.15
0
U Pareto 26.10 PreviewUnbiased
Coding
No data
Overall
No data
Output $/M
$3.20
1
vs boards won of 1 shared

Step 3.7 Flash or Pareto 26.10 Preview: which to pick

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

Pick Step 3.7 Flash for output tokens 2.8x cheaper ($1.15 vs $3.20 per million) and work measured by GameBench 2, where it leads.

Shared results
1
Step 3.7 Flash only
19
Pareto 26.10 Preview only
0
Like-for-like categories
1 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
Step 3.7 Flash not benchmarked, Pareto 26.10 Preview not benchmarked.
Widest category
Coding, 58.9 points apart on average over 1 shared benchmark.
Widest single gap
GameBench 2: Step 3.7 Flash 29.4 against Pareto 26.10 Preview 88.3, 58.9 points apart on a 0 to 100 scale.
Output price
Step 3.7 Flash $1.15 against Pareto 26.10 Preview $3.20 per million output tokens, 2.8x apart.
Context window
Step 3.7 Flash takes 262K tokens, Pareto 26.10 Preview 1.05M.

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
CategoryStep 3.7 FlashBarsPareto 26.10 PreviewTies
Coding01
All shared boards01
CodingLike-for-likeSix of these boards feed the Vibe Coding Index01
Coding benchmarks for Step 3.7 Flash and Pareto 26.10 Preview
BenchmarkStep 3.7 FlashPareto 26.10 PreviewLeader
AA Coding Index39.6Not measuredOnly Step 3.7 Flash measured
SciCode43.9%Not measuredOnly Step 3.7 Flash measured
Terminal-Bench Hard (Artificial Analysis run)35.6%Not measuredOnly Step 3.7 Flash measured
ALE-Bench694.1Not measuredOnly Step 3.7 Flash measured
GameBench 229.488.3Pareto 26.10 Preview
Neither model has a result on the other 47 boards here
IntelligenceNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Intelligence benchmarks for Step 3.7 Flash and Pareto 26.10 Preview
BenchmarkStep 3.7 FlashPareto 26.10 PreviewLeader
Neither model has a result on 2 boards here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Agentic work benchmarks for Step 3.7 Flash and Pareto 26.10 Preview
BenchmarkStep 3.7 FlashPareto 26.10 PreviewLeader
τ²-Bench Telecom98.5%Not measuredOnly Step 3.7 Flash measured
Neither model has a result on the other 43 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Reasoning benchmarks for Step 3.7 Flash and Pareto 26.10 Preview
BenchmarkStep 3.7 FlashPareto 26.10 PreviewLeader
GPQA Diamond (Artificial Analysis run)80.9%Not measuredOnly Step 3.7 Flash measured
Humanity's Last Exam (Artificial Analysis run)21.4%Not measuredOnly Step 3.7 Flash measured
Neither model has a result on the other 24 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Math benchmarks for Step 3.7 Flash and Pareto 26.10 Preview
BenchmarkStep 3.7 FlashPareto 26.10 PreviewLeader
MathArena19.0%Not measuredOnly Step 3.7 Flash measured
Neither model has a result on the other 13 boards here
KnowledgeNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Knowledge benchmarks for Step 3.7 Flash and Pareto 26.10 Preview
BenchmarkStep 3.7 FlashPareto 26.10 PreviewLeader
Neither model has a result on 21 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Step 3.7 Flash and Pareto 26.10 Preview
BenchmarkStep 3.7 FlashPareto 26.10 PreviewLeader
Design Arena: websites1186Not measuredOnly Step 3.7 Flash measured
Design Arena: UI components1167Not measuredOnly Step 3.7 Flash measured
Design Arena: game dev1142Not measuredOnly Step 3.7 Flash measured
Design Arena: data viz1171Not measuredOnly Step 3.7 Flash measured
Design Arena: 3D1108Not measuredOnly Step 3.7 Flash measured
Design Arena: all code categories1169Not measuredOnly Step 3.7 Flash measured
Design Arena: SVG1074Not measuredOnly Step 3.7 Flash measured
Design Arena: ASCII art1142Not measuredOnly Step 3.7 Flash measured
Neither model has a result on the other 1 board here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
General benchmarks for Step 3.7 Flash and Pareto 26.10 Preview
BenchmarkStep 3.7 FlashPareto 26.10 PreviewLeader
IFBench67.3%Not measuredOnly Step 3.7 Flash measured
Long context reasoning (AA-LCR)73.7%Not measuredOnly Step 3.7 Flash measured
GDPval-AA864Not measuredOnly Step 3.7 Flash measured
Neither model has a result on the other 46 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Step 3.7 Flash and Pareto 26.10 Preview
BenchmarkStep 3.7 FlashPareto 26.10 PreviewLeader
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

Step 3.7 Flash$0.0008Fits in one request
Pareto 26.10 Preview$0.0024Fits in one request

Step 3.7 Flash costs less

Repository review

50K input + 3K output tokens

Step 3.7 Flash$0.013Fits in one request
Pareto 26.10 Preview$0.050Fits in one request

Step 3.7 Flash costs less

Agent loop

200K input + 10K output tokens

Step 3.7 Flash$0.051Fits in one request
Pareto 26.10 Preview$0.192Fits in one request

Step 3.7 Flash 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 Step 3.7 Flash and Pareto 26.10 Preview
SpecificationStepFun Step 3.7 FlashPareto 26.10 Preview
MakerStepFunUnbiased
WeightsOpen weightsNo public weights listed
ReleasedMay 28, 2026October 1, 2026
Context window262K1.05M
Input $/Mtok$0.20$0.80
Output $/Mtok$1.15$3.20
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Step 3.7 Flash better than Pareto 26.10 Preview for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Step 3.7 Flash for output tokens 2.8x cheaper ($1.15 vs $3.20 per million) and work measured by GameBench 2, where it leads.

Which is cheaper, Step 3.7 Flash or Pareto 26.10 Preview?

Step 3.7 Flash costs $0.20 per million input tokens and $1.15 per million output tokens; Pareto 26.10 Preview costs $0.80 and $3.20. Cost per solved task is known for neither of them.

Which has the bigger context window, Step 3.7 Flash or Pareto 26.10 Preview?

Pareto 26.10 Preview, with 1.05M tokens against 262K.

How many benchmarks is the Step 3.7 Flash vs Pareto 26.10 Preview comparison based on?

1 benchmarks have a result for both models as of November 14, 2026. Step 3.7 Flash's coding index rests on 0 independent benchmarks and Pareto 26.10 Preview's on 0. Where only one model has a result, the page says so instead of naming a winner.

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