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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. DeepSeek V3 vs StepFun: Step 3.5 Flash

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

DeepSeek V3 vs StepFun: Step 3.5 Flash benchmark

In this head-to-head showdown, StepFun: Step 3.5 Flash is more budget-friendly at $0.3/1M 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 DeepSeek V3 if your priority is peak reasoning, complex code generation, and top preference Elo. Choose StepFun: Step 3.5 Flash if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
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DeepSeek
DeepSeek V3

Prior DeepSeek flagship. Baseline for v3 vs v4.

Elo 1,310$1.0287/1M out
stepfun
StepFun: Step 3.5 Flash

Auto-discovered from OpenRouter (stepfun/step-3.5-flash). Preview until a second source matches.

$0.3/1M out
Top Rival Showdowns for DeepSeek V3
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Gemini 3 Provs Grok 4.6vs Qwen 3 Max
Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar Leader

StepFun: Step 3.5 Flash

$0.3 / 1M output

Capability Percentiles

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

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect
Percentile 0–100
Dimensional AdvantageDeepSeek V3 4/6
Head-to-Head Comparison

Overall Matchup Breakdown

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

DeepSeek V3 (6)vsStepFun: Step 3.5 Flash (3)
DeepSeek V3: 6W (67%)Overall: DeepSeek V3StepFun: Step 3.5 Flash: 3W (33%)
← DeepSeek V3StepFun: Step 3.5 Flash →
DeepSeek V3 (4/5)

Intelligence & Reasoning

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

Preference Elo
1,310vs—
Coding Elo
—vs—
SWE-bench
48.6%vs—
LiveBench
55.4%vs—
GPQA Diamond
59.1%vs—
DeepSeek V3: 4WStepFun: Step 3.5 Flash: 0W
DeepSeek V3 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
66 tok/svs—
Time to first token
380 msvs—
DeepSeek V3: 2WStepFun: Step 3.5 Flash: 0W
StepFun: Step 3.5 Flash (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$1.03/1Mvs$0.3/1M
Input price
$0.2574/1Mvs$0.1/1M
Context window
164kvs262k
DeepSeek V3: 0WStepFun: Step 3.5 Flash: 3W

Side-by-Side Benchmark Matrix

Preference Elo
DeepSeek V31,310
lmarena · Aug 17, 2026
StepFun: Step 3.5 Flash—
LiveBench
DeepSeek V355.4%
livebench · Aug 17, 2026
StepFun: Step 3.5 Flash—
SWE-bench
DeepSeek V348.6%
swebench · Aug 17, 2026
StepFun: Step 3.5 Flash—
GPQA Diamond
DeepSeek V359.1%
seed-bootstrap · Aug 1, 2026
StepFun: Step 3.5 Flash—
Time to first token
DeepSeek V3380 ms
seed-bootstrap · Aug 1, 2026
StepFun: Step 3.5 Flash—
Output speed
DeepSeek V366 tok/s
seed-bootstrap · Aug 1, 2026
StepFun: Step 3.5 Flash—
Input priceStepFun: Step 3.5 Flash (+$0.1574/1M)
DeepSeek V3$0.2574/1M
openrouter · Aug 17, 2026
StepFun: Step 3.5 Flash$0.1/1M
openrouter · Aug 17, 2026
Output priceStepFun: Step 3.5 Flash (+$0.7287/1M)
DeepSeek V3$1.03/1M
openrouter · Aug 17, 2026
StepFun: Step 3.5 Flash$0.3/1M
openrouter · Aug 17, 2026
Context windowStepFun: Step 3.5 Flash (+98k)
DeepSeek V3164k
openrouter · Aug 17, 2026
StepFun: Step 3.5 Flash262k
openrouter · Aug 17, 2026
BenchmarkDeepSeek V3StepFun: Step 3.5 FlashAdvantage Delta
Preference Elo
1,310
lmarena · Aug 17, 2026
——
LiveBench
55.4%
livebench · Aug 17, 2026
——
SWE-bench
48.6%
swebench · Aug 17, 2026
——
GPQA Diamond
59.1%
seed-bootstrap · Aug 1, 2026
——
Time to first token
380 ms
seed-bootstrap · Aug 1, 2026
——
Output speed
66 tok/s
seed-bootstrap · Aug 1, 2026
——
Input price
$0.2574/1M
openrouter · Aug 17, 2026
$0.1/1M
openrouter · Aug 17, 2026
StepFun: Step 3.5 Flash (+$0.1574/1M)
Output price
$1.03/1M
openrouter · Aug 17, 2026
$0.3/1M
openrouter · Aug 17, 2026
StepFun: Step 3.5 Flash (+$0.7287/1M)
Context window
164k
openrouter · Aug 17, 2026
262k
openrouter · Aug 17, 2026
StepFun: Step 3.5 Flash (+98k)
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 67% with StepFun: Step 3.5 Flash
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
DeepSeek V3$24.44 / mo
In: $9.01Out: $15.43
StepFun: Step 3.5 Flash$8.00 / mo
In: $3.5Out: $4.5
Estimated Cost Delta

StepFun: Step 3.5 Flash is estimated to save $16.44/month ($197/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    StepFun: Step 3.5 Flash:Pick StepFun: Step 3.5 Flash when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatStepFun: Step 3.5 Flash

Lower output list price ($0.3/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGStepFun: Step 3.5 Flash

Larger window (262k).

Screenshots / visionStepFun: Step 3.5 Flash

StepFun: Step 3.5 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 3.5 FlashLower output list price ($0.3/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGStepFun: Step 3.5 FlashLarger window (262k).
Screenshots / visionStepFun: Step 3.5 FlashStepFun: Step 3.5 Flash is the side marked multimodal in the catalog.
Community Sentiment

Cast Your Matchup Vote

0 total votes

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CompareLLM Matrix

Verified head-to-head card

LIVE
VS
DeepSeek

DeepSeek V3

Elo 1,310
LiveBench55.4%
SWE-bench48.6%
Speed66 tok/s
Output cost$1.03/1M
stepfun

StepFun: Step 3.5 Flash

Elo n/a
LiveBench—
SWE-bench—
Speed—
Output cost$0.3/1M

Frequently Asked Questions

Which is better overall, DeepSeek V3 or StepFun: Step 3.5 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, DeepSeek V3 or StepFun: Step 3.5 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 3.5 Flash output tokens are $0.3/1M versus $1.03/1M. Input prices and retry rates still move the real bill.
Which is faster, DeepSeek V3 or StepFun: Step 3.5 Flash?
We do not have TTFT for both models.
Which has the larger context window?
StepFun: Step 3.5 Flash accepts 262k tokens versus 164k.
Can I self-host either model?
DeepSeek V3 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. DeepSeek V3 and StepFun: Step 3.5 Flash Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All DeepSeek V3 matchups →|All StepFun: Step 3.5 Flash matchups →
DeepSeek V3 vs DeepSeek Coder V2 (previous deepseek)DeepSeek V3 vs DeepSeek R1 (next deepseek)DeepSeek V4 Pro vs DeepSeek V3DeepSeek V4 Flash vs DeepSeek V3Mistral Large 3 vs DeepSeek V3Llama 4 Maverick vs DeepSeek V3