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Claude Sonnet 4.5 vs Step 3.5 Flash

Updated October 21, 2026. 29 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Claude Sonnet 4.5Anthropic
Coding
39.5
Overall
20.7
Output $/M
$15.00
29
Step 3.5 FlashStepFun
Coding
No data
Overall
17.0
Output $/M
$0.30
0
vs boards won of 29 shared

Decision reading

Only Claude Sonnet 4.5 has a coding score, 39.5 on the Vibe Coding Index; Step 3.5 Flash has none, so the two cannot be ranked on coding.

Step 3.5 Flash has the edge where output tokens cost 50.0x less.

Shared results
29
Claude Sonnet 4.5 only
63
Step 3.5 Flash only
6
Like-for-like categories
6 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
Claude Sonnet 4.5 39.5 from 3 benchmarks, Step 3.5 Flash not benchmarked.
Widest category
Reasoning, 9.1 points apart on average over 3 shared benchmarks.
Widest single gap
LMArena Text: creative writing: Claude Sonnet 4.5 1442 against Step 3.5 Flash 1357, 14.1 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 4.5 $15.00 against Step 3.5 Flash $0.30 per million output tokens, 50.0x apart.
Context window
Claude Sonnet 4.5 takes 1M tokens, Step 3.5 Flash 262K.

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
CategoryClaude Sonnet 4.5BarsStep 3.5 FlashTies
Coding20
Intelligence10
Reasoning30
Math20
Knowledge40
General170
All shared boards290
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Claude Sonnet 4.5 and Step 3.5 Flash
BenchmarkClaude Sonnet 4.5Step 3.5 FlashLeader
SWE-bench Verified74.8%Not measuredOnly Claude Sonnet 4.5 measured
SWE-bench Multilingual67.0%Not measuredOnly Claude Sonnet 4.5 measured
LMArena WebDev1394Not measuredOnly Claude Sonnet 4.5 measured
AA Coding Index52.1Not measuredOnly Claude Sonnet 4.5 measured
LiveCodeBench (Vals AI)73.0%Not measuredOnly Claude Sonnet 4.5 measured
SWE-bench Verified (Vals AI)70.0%Not measuredOnly Claude Sonnet 4.5 measured
Vibe Code Bench (Vals AI)22.6%Not measuredOnly Claude Sonnet 4.5 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured32.6%Only Step 3.5 Flash measured
Terminal-Bench46.5%Not measuredOnly Claude Sonnet 4.5 measured
GSO-Bench14.7%Not measuredOnly Claude Sonnet 4.5 measured
WeirdML47.7%Not measuredOnly Claude Sonnet 4.5 measured
Cybench60.0%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: coding14881436Claude Sonnet 4.5
LMArena Text: software and IT14731434Claude Sonnet 4.5
LMArena WebDev: React1386Not measuredOnly Claude Sonnet 4.5 measured
LMArena WebDev: HTML1399Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Sonnet 4.5 and Step 3.5 Flash
BenchmarkClaude Sonnet 4.5Step 3.5 FlashLeader
AA Intelligence Index20.717.0Claude Sonnet 4.5
Epoch Capabilities Index146.7Not measuredOnly Claude Sonnet 4.5 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
Agentic work benchmarks for Claude Sonnet 4.5 and Step 3.5 Flash
BenchmarkClaude Sonnet 4.5Step 3.5 FlashLeader
AA Agentic Index15.8Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: agents building web apps1059Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: agents building full-stack apps1050Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: agents building mobile apps1137Not measuredOnly Claude Sonnet 4.5 measured
τ²-Bench TelecomNot measured94.4%Only Step 3.5 Flash measured
METR time horizons67.4%Not measuredOnly Claude Sonnet 4.5 measured
Remote Labor Index2.1%Not measuredOnly Claude Sonnet 4.5 measured
GDPval42.5%Not measuredOnly Claude Sonnet 4.5 measured
DeepResearch Bench52.6%Not measuredOnly Claude Sonnet 4.5 measured
OSWorld62.9%Not measuredOnly Claude Sonnet 4.5 measured
Vending-Bench 2$3,839Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for Claude Sonnet 4.5 and Step 3.5 Flash
BenchmarkClaude Sonnet 4.5Step 3.5 FlashLeader
GPQA Diamond81.6%Not measuredOnly Claude Sonnet 4.5 measured
MMMU Pro (Vals AI)79.3%Not measuredOnly Claude Sonnet 4.5 measured
GPQA Diamond (Artificial Analysis run)Not measured83.1%Only Step 3.5 Flash measured
Humanity's Last Exam (Artificial Analysis run)Not measured24.5%Only Step 3.5 Flash measured
GPQA Diamond (Epoch AI run)82.3%Not measuredOnly Claude Sonnet 4.5 measured
ARC-AGI63.7%Not measuredOnly Claude Sonnet 4.5 measured
ARC-AGI-213.6%Not measuredOnly Claude Sonnet 4.5 measured
SimpleBench54.3%Not measuredOnly Claude Sonnet 4.5 measured
Chess puzzles10.0%Not measuredOnly Claude Sonnet 4.5 measured
Mystery game puzzles17.0%Not measuredOnly Claude Sonnet 4.5 measured
EBR-bench2.4%Not measuredOnly Claude Sonnet 4.5 measured
VPCT39.8%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: hard prompts14621411Claude Sonnet 4.5
LMArena Text: expert14831421Claude Sonnet 4.5
LMArena Text: hard prompts in English14711421Claude Sonnet 4.5
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Claude Sonnet 4.5 and Step 3.5 Flash
BenchmarkClaude Sonnet 4.5Step 3.5 FlashLeader
AIME88.2%Not measuredOnly Claude Sonnet 4.5 measured
MGSM (Vals AI)94.3%Not measuredOnly Claude Sonnet 4.5 measured
OTIS Mock AIME77.8%Not measuredOnly Claude Sonnet 4.5 measured
FrontierMath, tiers 1 to 323.9%Not measuredOnly Claude Sonnet 4.5 measured
FrontierMath, tier 42.4%Not measuredOnly Claude Sonnet 4.5 measured
ProofBench19.0%Not measuredOnly Claude Sonnet 4.5 measured
MATH level 597.7%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: math14491408Claude Sonnet 4.5
LMArena Text: mathematical work14621421Claude Sonnet 4.5
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Claude Sonnet 4.5 and Step 3.5 Flash
BenchmarkClaude Sonnet 4.5Step 3.5 FlashLeader
MMLU Pro87.4%Not measuredOnly Claude Sonnet 4.5 measured
LegalBench (Vals AI)84.1%Not measuredOnly Claude Sonnet 4.5 measured
CaseLaw (Vals AI)62.2%Not measuredOnly Claude Sonnet 4.5 measured
CorpFin (Vals AI)62.0%Not measuredOnly Claude Sonnet 4.5 measured
TaxEval (Vals AI)73.3%Not measuredOnly Claude Sonnet 4.5 measured
MortgageTax (Vals AI)64.0%Not measuredOnly Claude Sonnet 4.5 measured
MedQA (Vals AI)94.7%Not measuredOnly Claude Sonnet 4.5 measured
MedCode (Vals AI)44.1%Not measuredOnly Claude Sonnet 4.5 measured
SimpleQA Verified30.7%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: science14481415Claude Sonnet 4.5
LMArena Text: medicine and healthcare14441408Claude Sonnet 4.5
LMArena Text: legal and government14511408Claude Sonnet 4.5
LMArena Text: business and finance14401394Claude Sonnet 4.5
Neither model has a result on the other 4 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Claude Sonnet 4.5 and Step 3.5 Flash
BenchmarkClaude Sonnet 4.5Step 3.5 FlashLeader
Design Arena: websites1190Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: UI components1173Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: game dev1166Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: data viz1167Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: 3D1158Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: all code categories1183Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: SVG1115Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: ASCII art1204Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index170
General benchmarks for Claude Sonnet 4.5 and Step 3.5 Flash
BenchmarkClaude Sonnet 4.5Step 3.5 FlashLeader
SAGE (Vals AI)36.1%Not measuredOnly Claude Sonnet 4.5 measured
MedScribe (Vals AI)84.5%Not measuredOnly Claude Sonnet 4.5 measured
IFBenchNot measured66.5%Only Step 3.5 Flash measured
Long context reasoning (AA-LCR)Not measured63.0%Only Step 3.5 Flash measured
DTBench83.2%Not measuredOnly Claude Sonnet 4.5 measured
LMCA38.8%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text14381403Claude Sonnet 4.5
LMArena Text: instruction following14591385Claude Sonnet 4.5
LMArena Text: creative writing14421357Claude Sonnet 4.5
LMArena Text: English14501417Claude Sonnet 4.5
LMArena Text: non-English14251385Claude Sonnet 4.5
LMArena Text: Chinese14601446Claude Sonnet 4.5
LMArena Text: German14271405Claude Sonnet 4.5
LMArena Text: Japanese13901353Claude Sonnet 4.5
LMArena Text: Korean14021351Claude Sonnet 4.5
LMArena Text: French14591421Claude Sonnet 4.5
LMArena Text: Spanish14581419Claude Sonnet 4.5
LMArena Text: Russian14371385Claude Sonnet 4.5
LMArena Text: Polish14231389Claude Sonnet 4.5
LMArena Text: multi-turn14651404Claude Sonnet 4.5
LMArena Text: longer queries14751402Claude Sonnet 4.5
LMArena Text: writing and language14421372Claude Sonnet 4.5
LMArena Text: entertainment and media14281360Claude Sonnet 4.5
LMArena Document1450Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 22 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Sonnet 4.5 and Step 3.5 Flash
BenchmarkClaude Sonnet 4.5Step 3.5 FlashLeader
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

Claude Sonnet 4.5$0.011Fits in one request
Step 3.5 Flash$0.0003Fits in one request

Step 3.5 Flash costs less

Repository review

50K input + 3K output tokens

Claude Sonnet 4.5$0.195Fits in one request
Step 3.5 Flash$0.0059Fits in one request

Step 3.5 Flash costs less

Agent loop

200K input + 10K output tokens

Claude Sonnet 4.5$0.750Fits in one request
Step 3.5 Flash$0.023Fits in one request

Step 3.5 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 Claude Sonnet 4.5 and Step 3.5 Flash
SpecificationAnthropic Claude Sonnet 4.5StepFun Step 3.5 Flash
MakerAnthropicStepFun
WeightsNo public weights listedOpen weights
ReleasedSeptember 29, 2025January 29, 2026
Context window1M262K
Input $/Mtok$3.00$0.10
Output $/Mtok$15.00$0.30
Coding index39.5Not benchmarked
Independent measurements behind it30
Cost per solved task$1.16Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Sonnet 4.5 better than Step 3.5 Flash for coding?

Only Claude Sonnet 4.5 has a coding score, 39.5 on the Vibe Coding Index; Step 3.5 Flash has none, so the two cannot be ranked on coding. Step 3.5 Flash has the edge where output tokens cost 50.0x less.

Which is cheaper, Claude Sonnet 4.5 or Step 3.5 Flash?

Claude Sonnet 4.5 costs $3.00 per million input tokens and $15.00 per million output tokens; Step 3.5 Flash costs $0.10 and $0.30. Cost per solved task is known for Claude Sonnet 4.5 only.

Which has the bigger context window, Claude Sonnet 4.5 or Step 3.5 Flash?

Claude Sonnet 4.5, with 1M tokens against 262K.

How many benchmarks is the Claude Sonnet 4.5 vs Step 3.5 Flash comparison based on?

29 benchmarks have a result for both models as of October 21, 2026. Claude Sonnet 4.5's coding index rests on 3 independent benchmarks and Step 3.5 Flash's on 0. Where only one model has a result, the page says so instead of naming a winner.

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