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Qwen3.8 27B vs Step 5 Preview

Updated October 21, 2026. 54 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Qwen3.8 27BQwen
Coding
73.6
Overall
33.7
Output $/M
$1.35
24
Step 5 PreviewStepFun
Coding
71.4
Overall
43.7
Output $/M
$2.70
30
vs boards won of 54 shared

Decision reading

Pick Qwen3.8 27B for coding: it scores 73.6 on the Vibe Coding Index against 71.4 for Step 5 Preview.

Pick Step 5 Preview when the context window is larger, 1.05M against 1M tokens, or when what matters is Vibe Code Bench (Vals AI) or Code migration (Vals AI), where it leads.

Shared results
54
Qwen3.8 27B only
31
Step 5 Preview only
7
Like-for-like categories
8 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
Qwen3.8 27B 73.6 from 2 benchmarks, Step 5 Preview 71.4 from 2 benchmarks.
Widest category
Intelligence, 10.0 points apart on average over 1 shared benchmark.
Widest single gap
ProofBench: Qwen3.8 27B 16.0% against Step 5 Preview 42.0%, 26.0 points apart on a 0 to 100 scale.
Output price
Qwen3.8 27B $1.35 against Step 5 Preview $2.70 per million output tokens, 2.0x apart.
Context window
Qwen3.8 27B takes 1M tokens, Step 5 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
CategoryQwen3.8 27BBarsStep 5 PreviewTies
Coding74
Intelligence01
Agentic work44
Reasoning25
Math03
Knowledge31
Web design01
General811
All shared boards2430
CodingLike-for-likeFour of these boards feed the Vibe Coding Index74
Coding benchmarks for Qwen3.8 27B and Step 5 Preview
BenchmarkQwen3.8 27BStep 5 PreviewLeader
LiveBench coding86.8%85.6%Qwen3.8 27B
LMArena WebDev15931567Qwen3.8 27B
AA Coding Index68.1Not measuredOnly Qwen3.8 27B measured
LiveCodeBench (Vals AI)84.0%Not measuredOnly Qwen3.8 27B measured
SWE-bench Verified (Vals AI)86.0%Not measuredOnly Qwen3.8 27B measured
Terminal-Bench 4 (Vals AI)Not measured31.8%Only Step 5 Preview measured
Vibe Code Bench (Vals AI)64.8%70.4%Step 5 Preview
Code migration (Vals AI)14.2%39.0%Step 5 Preview
ProgramBench (Vals AI)0.0%Not measuredOnly Qwen3.8 27B measured
IOI (Vals AI)39.1%38.1%Qwen3.8 27B
Terminal-Bench 2.1 (Vals AI)58.4%Not measuredOnly Qwen3.8 27B measured
SWE-bench Multimodal (Vals AI)Not measured40.8%Only Step 5 Preview measured
SkillsBench (Vals AI)38.1%Not measuredOnly Qwen3.8 27B measured
CyberBench (Vals AI)67.8%Not measuredOnly Qwen3.8 27B measured
SciCode46.6%58.9%Step 5 Preview
LMArena Text: coding14831485Step 5 Preview
LMArena Text: software and IT14781473Qwen3.8 27B
LMArena WebDev: React16021583Qwen3.8 27B
LMArena WebDev: HTML15701556Qwen3.8 27B
LMArena WebDev: from an image15771550Qwen3.8 27B
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Qwen3.8 27B and Step 5 Preview
BenchmarkQwen3.8 27BStep 5 PreviewLeader
AA Intelligence Index33.743.7Step 5 Preview
Epoch Capabilities Index151.7Not measuredOnly Qwen3.8 27B measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index44
Agentic work benchmarks for Qwen3.8 27B and Step 5 Preview
BenchmarkQwen3.8 27BStep 5 PreviewLeader
AA Agentic Index45.8Not measuredOnly Qwen3.8 27B measured
LiveBench research59.4%72.8%Step 5 Preview
LiveBench browser32.0%24.0%Qwen3.8 27B
LiveBench long agentic27.9%27.5%Qwen3.8 27B
SREBench (Vals AI)Not measured0.4%Only Step 5 Preview measured
Finance Agent (Vals AI)48.5%50.7%Step 5 Preview
Tax Agent Bench (Vals AI)30.9%27.3%Qwen3.8 27B
Legal Research Bench (Vals AI)36.1%40.4%Step 5 Preview
Excel Modeling Benchmark (Vals AI)59.7%57.1%Qwen3.8 27B
BioMysteryBench (Vals AI)Not measured67.4%Only Step 5 Preview measured
Terminal-Bench-Science (Vals AI)0.0%2.9%Step 5 Preview
Vals Science IndexNot measured29.6%Only Step 5 Preview measured
APEX-Agents47.5%Not measuredOnly Qwen3.8 27B measured
Neither model has a result on the other 26 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index25
Reasoning benchmarks for Qwen3.8 27B and Step 5 Preview
BenchmarkQwen3.8 27BStep 5 PreviewLeader
GPQA Diamond88.9%Not measuredOnly Qwen3.8 27B measured
LiveBench reasoning80.0%83.8%Step 5 Preview
MysteryMechanism (Vals AI)Not measured18.5%Only Step 5 Preview measured
MMMU Pro (Vals AI)83.9%Not measuredOnly Qwen3.8 27B measured
GPQA Diamond (Artificial Analysis run)90.5%Not measuredOnly Qwen3.8 27B measured
Humanity's Last Exam (Artificial Analysis run)33.9%46.5%Step 5 Preview
ARC-AGI87.5%Not measuredOnly Qwen3.8 27B measured
ARC-AGI-242.4%Not measuredOnly Qwen3.8 27B measured
LMArena Text: hard prompts14591461Step 5 Preview
LMArena Text: expert14791485Step 5 Preview
LMArena Text: hard prompts in English14611454Qwen3.8 27B
LMArena Vision: diagrams12851308Step 5 Preview
LMArena Vision: homework12951265Qwen3.8 27B
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for Qwen3.8 27B and Step 5 Preview
BenchmarkQwen3.8 27BStep 5 PreviewLeader
ProofBench16.0%42.0%Step 5 Preview
LMArena Text: math14551458Step 5 Preview
LMArena Text: mathematical work14581460Step 5 Preview
Neither model has a result on the other 10 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index31
Knowledge benchmarks for Qwen3.8 27B and Step 5 Preview
BenchmarkQwen3.8 27BStep 5 PreviewLeader
MMLU Pro84.3%Not measuredOnly Qwen3.8 27B measured
LegalBench (Vals AI)82.4%Not measuredOnly Qwen3.8 27B measured
TaxEval (Vals AI)70.8%Not measuredOnly Qwen3.8 27B measured
MortgageTax (Vals AI)64.9%Not measuredOnly Qwen3.8 27B measured
MedCode (Vals AI)28.7%Not measuredOnly Qwen3.8 27B measured
LMArena Text: science14671454Qwen3.8 27B
LMArena Text: medicine and healthcare14371439Step 5 Preview
LMArena Text: legal and government14471437Qwen3.8 27B
LMArena Text: business and finance14381435Qwen3.8 27B
Neither model has a result on the other 8 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index01
Web design benchmarks for Qwen3.8 27B and Step 5 Preview
BenchmarkQwen3.8 27BStep 5 PreviewLeader
LiveBench design75.9%76.9%Step 5 Preview
Neither model has a result on the other 8 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index811
General benchmarks for Qwen3.8 27B and Step 5 Preview
BenchmarkQwen3.8 27BStep 5 PreviewLeader
LiveBench data analysis76.6%63.5%Qwen3.8 27B
Public Benefits Bench (Vals AI)Not measured58.1%Only Step 5 Preview measured
SAGE (Vals AI)52.4%Not measuredOnly Qwen3.8 27B measured
MedScribe (Vals AI)83.8%Not measuredOnly Qwen3.8 27B measured
Long context reasoning (AA-LCR)82.0%88.3%Step 5 Preview
DTBench88.0%Not measuredOnly Qwen3.8 27B measured
LMCA41.4%Not measuredOnly Qwen3.8 27B measured
Surface Evolver Bench45.0%Not measuredOnly Qwen3.8 27B measured
LMArena Text14401440Step 5 Preview
LMArena Text: instruction following14361438Step 5 Preview
LMArena Text: creative writing13831409Step 5 Preview
LMArena Vision12691265Qwen3.8 27B
LMArena Text: English14481447Qwen3.8 27B
LMArena Text: non-English14281428Step 5 Preview
LMArena Text: Chinese15011500Qwen3.8 27B
LMArena Text: German1443Not measuredOnly Qwen3.8 27B measured
LMArena Text: Japanese13871383Qwen3.8 27B
LMArena Text: Korean1384Not measuredOnly Qwen3.8 27B measured
LMArena Text: French14651438Qwen3.8 27B
LMArena Text: Spanish14491441Qwen3.8 27B
LMArena Text: Russian14151433Step 5 Preview
LMArena Text: Polish1439Not measuredOnly Qwen3.8 27B measured
LMArena Text: multi-turn14401437Qwen3.8 27B
LMArena Text: longer queries14481449Step 5 Preview
LMArena Text: writing and language14051425Step 5 Preview
LMArena Text: entertainment and media13931412Step 5 Preview
LMArena Vision: English12671290Step 5 Preview
LMArena Vision: Chinese1326Not measuredOnly Qwen3.8 27B measured
LMArena Vision: reading text12811282Step 5 Preview
LMArena Vision: humor1235Not measuredOnly Qwen3.8 27B measured
LMArena Vision: creative writing1237Not measuredOnly Qwen3.8 27B measured
Neither model has a result on the other 15 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Qwen3.8 27B and Step 5 Preview
BenchmarkQwen3.8 27BStep 5 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

Qwen3.8 27B$0.0007Fits in one request
Step 5 Preview$0.0024Fits in one request

Qwen3.8 27B costs less

Repository review

50K input + 3K output tokens

Qwen3.8 27B$0.0060Fits in one request
Step 5 Preview$0.058Fits in one request

Qwen3.8 27B costs less

Agent loop

200K input + 10K output tokens

Qwen3.8 27B$0.021Fits in one request
Step 5 Preview$0.227Fits in one request

Qwen3.8 27B 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 Qwen3.8 27B and Step 5 Preview
SpecificationQwen3.8 27BStepFun Step 5 Preview
MakerQwenStepFun
WeightsOpen weightsOpen weights
ReleasedAugust 14, 2026October 8, 2026
Context window1M1.05M
Input $/Mtok$0.04$1.00
Output $/Mtok$1.35$2.70
Coding index73.671.4
Independent measurements behind it22
Cost per solved task$1.26Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Qwen3.8 27B better than Step 5 Preview for coding?

Pick Qwen3.8 27B for coding: it scores 73.6 on the Vibe Coding Index against 71.4 for Step 5 Preview. Pick Step 5 Preview when the context window is larger, 1.05M against 1M tokens, or when what matters is Vibe Code Bench (Vals AI) or Code migration (Vals AI), where it leads.

Which is cheaper, Qwen3.8 27B or Step 5 Preview?

Qwen3.8 27B costs $0.04 per million input tokens and $1.35 per million output tokens; Step 5 Preview costs $1.00 and $2.70. Cost per solved task is known for Qwen3.8 27B only.

Which has the bigger context window, Qwen3.8 27B or Step 5 Preview?

Step 5 Preview, with 1.05M tokens against 1M.

How many benchmarks is the Qwen3.8 27B vs Step 5 Preview comparison based on?

54 benchmarks have a result for both models as of October 21, 2026. Qwen3.8 27B's coding index rests on 2 independent benchmarks and Step 5 Preview's on 2. Where only one model has a result, the page says so instead of naming a winner.

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<iframe src="https://llmbenchmark.ai/embed/compare/qwen3-8-27b-vs-stepfun-step-5-preview" title="Qwen3.8 27B vs Step 5 Preview, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/qwen3-8-27b-vs-stepfun-step-5-preview">LLMBenchmark.ai, Qwen3.8 27B vs Step 5 Preview</a></p>