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© 2026 CompareLLM. Public benchmark data aggregated from Arena Elo, LiveBench, SWE-bench & OpenRouter.

Every score has a dated snapshot.

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  3. Qwen3.8 27B vs StepFun: Step 3.7 Flash

Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

Qwen3.8 27B vs StepFun: Step 3.7 Flash benchmark

In this head-to-head showdown, StepFun: Step 3.7 Flash is more budget-friendly at $1.15/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: Choose Qwen3.8 27B if your priority is peak reasoning, complex code generation, and top preference Elo. Choose StepFun: Step 3.7 Flash if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
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Verified Head-to-Head Advantage Breakdown

2 direct benchmark disciplines evaluated across capability, speed, and cost

Qwen3.8 27B (0)StepFun: Step 3.7 Flash (2)
Qwen3.8 27B
0 of 2 Wins
Competitive baseline across remaining benchmarks
StepFun: Step 3.7 Flash
2 of 2 Wins
✓Input price✓Output price
Alibaba
Qwen3.8 27B

Alibaba open-weight 27B drop dated Aug 14 2026. Dense enough to self-host; not a frontier MoE.

27B DenseElo 1,398$3.1999999999999997/1M out
stepfun
Leads 2 of 2 metrics
StepFun: Step 3.7 Flash

Auto-discovered from OpenRouter (stepfun/step-3.7-flash). Preview until a second source matches.

$1.15/1M out

Qwen 3 Series Lineage & Sibling Variants

4 models

Currently comparing Qwen3.8 27B vs StepFun: Step 3.7 Flash. Alternative family tiers available.

Active: Qwen3.8 27B
Qwen 3 Max$3.9Qwen3 235B$1.82Qwen QwQ 32B$1.2
Top Rival Showdowns for Qwen3.8 27B
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Pro
Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderStepFun: Step 3.7 Flash Wins

StepFun: Step 3.7 Flash

$1.15 / 1M output

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top Western standard models with China's leading frontier rival across 6 skill dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect
0–100 %ile
Head-to-Head Comparison

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

Qwen3.8 27B (7)vsStepFun: Step 3.7 Flash (2)
Qwen3.8 27B: 7W (78%)Overall: Qwen3.8 27BStepFun: Step 3.7 Flash: 2W (22%)
← Qwen3.8 27B1 tiesStepFun: Step 3.7 Flash →
🏆Qwen3.8 27B(5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Benchmark
Qwen3.8 27BvsStepFun: Step 3.7 Flash
Preference Elo
1,398vs—
Coding Elo
1,422vs—
SWE-bench
58.8%vs—
LiveBench
60.6%vs—
GPQA Diamond
73.4%vs—
Qwen3.8 27B: 5WStepFun: Step 3.7 Flash: 0W
🏆Qwen3.8 27B(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Qwen3.8 27BvsStepFun: Step 3.7 Flash
Output speed
152 tok/svs—
Time to first token
140 msvs—
Qwen3.8 27B: 2WStepFun: Step 3.7 Flash: 0W
🏆StepFun: Step 3.7 Flash(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Qwen3.8 27BvsStepFun: Step 3.7 Flash
Output price
$3.2/1Mvs$1.15/1M+$2.05/1M
Input price
$0.45/1Mvs$0.2/1M+$0.25/1M
Context window
262kvs262k
Qwen3.8 27B: 0WStepFun: Step 3.7 Flash: 2W

Side-by-Side Benchmark Matrix

Preference Elo
Qwen3.8 27B1,398
lmarena · Aug 16, 2026
StepFun: Step 3.7 Flash—
Coding Elo
Qwen3.8 27B1,422
lmarena · Aug 16, 2026
StepFun: Step 3.7 Flash—
LiveBench
Qwen3.8 27B60.6%
livebench · Aug 16, 2026
StepFun: Step 3.7 Flash—
SWE-bench
Qwen3.8 27B58.8%
swebench · Aug 16, 2026
StepFun: Step 3.7 Flash—
GPQA Diamond
Qwen3.8 27B73.4%
seed-bootstrap · Aug 16, 2026
StepFun: Step 3.7 Flash—
Time to first token
Qwen3.8 27B140 ms
seed-bootstrap · Aug 16, 2026
StepFun: Step 3.7 Flash—
Output speed
Qwen3.8 27B152 tok/s
seed-bootstrap · Aug 16, 2026
StepFun: Step 3.7 Flash—
Input price+$0.25/1M
Qwen3.8 27B$0.45/1M
openrouter · Aug 17, 2026
StepFun: Step 3.7 Flash$0.2/1M
openrouter · Aug 17, 2026
Output price+$2.05/1M
Qwen3.8 27B$3.2/1M
openrouter · Aug 17, 2026
StepFun: Step 3.7 Flash$1.15/1M
openrouter · Aug 17, 2026
Context window
Qwen3.8 27B262k
openrouter · Aug 17, 2026
StepFun: Step 3.7 Flash262k
openrouter · Aug 17, 2026
BenchmarkQwen3.8 27BStepFun: Step 3.7 FlashAdvantage Delta
Preference Elo
1,398
lmarena · Aug 16, 2026
——
Coding Elo
1,422
lmarena · Aug 16, 2026
——
LiveBench
60.6%
livebench · Aug 16, 2026
——
SWE-bench
58.8%
swebench · Aug 16, 2026
——
GPQA Diamond
73.4%
seed-bootstrap · Aug 16, 2026
——
Time to first token
140 ms
seed-bootstrap · Aug 16, 2026
——
Output speed
152 tok/s
seed-bootstrap · Aug 16, 2026
——
Input price
$0.45/1M
openrouter · Aug 17, 2026
$0.2/1M
openrouter · Aug 17, 2026
+$0.25/1M
Output price
$3.2/1M
openrouter · Aug 17, 2026
$1.15/1M
openrouter · Aug 17, 2026
+$2.05/1M
Context window
262k
openrouter · Aug 17, 2026
262k
openrouter · Aug 17, 2026
—
Interactive Simulator (USD)

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save up to 62% with StepFun: Step 3.7 Flash
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
Qwen3.8 27B$63.75 / mo
In: $15.75Out: $48
StepFun: Step 3.7 Flash$24.25 / mo
In: $7Out: $17.25
Estimated Cost Delta

StepFun: Step 3.7 Flash is estimated to save $39.50/month ($474/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    StepFun: Step 3.7 Flash:Pick StepFun: Step 3.7 Flash when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatStepFun: Step 3.7 Flash

Lower output list price ($1.15/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGQwen3.8 27B

Larger window (262k).

Screenshots / visionStepFun: Step 3.7 Flash

StepFun: Step 3.7 Flash is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatStepFun: Step 3.7 FlashLower output list price ($1.15/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGQwen3.8 27BLarger window (262k).
Screenshots / visionStepFun: Step 3.7 FlashStepFun: Step 3.7 Flash is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news
launchAug 14, 2026

Qwen3.8 27B (Aug 14): dense enough to self-host, not a frontier MoE

Alibaba open-weight 27B drop. Local/open-weight lists should see it. It will not win frontier-agents.

Community Sentiment

Cast Your Matchup Vote

0 total votes

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
Alibaba

Qwen3.8 27B

Elo 1,398
SWE-bench58.8%
Speed (tok/s)152 tok/s
Input / 1M Tokens$0.45/1M
Output / 1M Tokens$3.2/1M
stepfun

StepFun: Step 3.7 Flash

Elo n/a
SWE-bench—
Speed (tok/s)262k
Input / 1M Tokens$0.2/1M
Output / 1M Tokens$1.15/1M

Frequently Asked Questions

Which is better overall, Qwen3.8 27B or StepFun: Step 3.7 Flash?
We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, Qwen3.8 27B or StepFun: Step 3.7 Flash?
SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?
StepFun: Step 3.7 Flash output tokens are $1.15/1M versus $3.2/1M. Input prices and retry rates still move the real bill.
Which is faster, Qwen3.8 27B or StepFun: Step 3.7 Flash?
We do not have TTFT for both models.
Which has the larger context window?
Qwen3.8 27B accepts 262k tokens versus 262k.
Can I self-host either model?
Qwen3.8 27B is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.
Are these scores from CompareLLM’s own evals?
No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?
Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Qwen3.8 27B and StepFun: Step 3.7 Flash Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • launch · Aug 14, 2026

    Qwen3.8 27B (Aug 14): dense enough to self-host, not a frontier MoE

Similar Head-to-Head Comparisons

All Qwen3.8 27B matchups →|All StepFun: Step 3.7 Flash matchups →
Qwen QwQ 32B vs Qwen3.8 27BQwen 3 Max vs Qwen3.8 27BQwen 2.5 Coder 32B vs Qwen3.8 27BQwen2.5 Coder 32B Instruct vs Qwen3.8 27BQwen3 235B vs Qwen3.8 27BQwen 2.5 Plus vs Qwen3.8 27B