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Seed-2.0-Lite vs Qwen3.5-Flash

Seed-2.0-Lite

ByteDance

40#345
vs
Qwen3.5-Flash

Alibaba

40#347
Signal-by-Signal Comparison
SignalSeed-2.0-LiteDeltaQwen3.5-Flash
Capabilities
83
--
83
Pricing
98
-2
100
Context window size
86
-9
95
Recency
89
+2
86
Output Capacity
82
+5
77
Overall Result
2 wins
of 5
2 wins
It's a tie - both models win 2 signals each

Score History

Score History (38 data points)
Seed-2.0-LiteQwen3.5-Flash
Seed-2.0-Lite

40

current score

Leader

Tied

right now

Qwen3.5-Flash

40

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

Seed-2.0-Lite

ByteDance

Per request$0.001250
Daily$4.17
Monthly$125.00
Annual$1500.00

Qwen3.5-Flash

Alibaba

Best Value
Per request$0.000195
Daily$0.65
Monthly$19.50
Annual$234.00

Qwen3.5-Flash saves you $105.50/month

That's $1266.00/year compared to Seed-2.0-Lite at your current usage level of 100K calls/month.

84% cheaper
Choose Qwen3.5-Flash for cost optimization

Seed-2.0-Lite pricing:
Input:$0.25/M tokens
Output:$2.00/M tokens
Qwen3.5-Flash pricing:
Input:$0.07/M tokens
Output:$0.26/M tokens
Tie
Seed-2.0-Lite

ByteDance

40

Composite Score

Tie
Qwen3.5-Flash

Alibaba

40

Composite Score

Signal-by-Signal Comparison
MetricSeed-2.0-LiteQwen3.5-FlashWinner
Overall Score
40
40
--
Rank#345#347
Seed-2.0-Lite
Quality Rank#345#347
Seed-2.0-Lite
Adoption Rank#345#347
Seed-2.0-Lite
Parameters------
Context Window262K1000K
Qwen3.5-Flash
Pricing$0.25/$2.00/M$0.07/$0.26/M--
Signal Scores
Capabilities
83
83
Seed-2.0-Lite
Pricing
98
100
Qwen3.5-Flash
Context window size
86
95
Qwen3.5-Flash
Recency
89
86
Seed-2.0-Lite
Output Capacity
82
77
Seed-2.0-Lite
Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

Seed-2.0-LiteEntry Level

Scores 40/100 (rank #345), placing it in the top -19% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Qwen3.5-FlashEntry Level

Scores 40/100 (rank #347), placing it in the top -19% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.

When to Use Each Model

Choose Seed-2.0-Lite when you need:

  • Step-by-step reasoning and chain-of-thought problem solving

Choose Qwen3.5-Flash when you need:

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (1000K token context)
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Seed-2.0-Lite
Input cost$0.25/M tokens
Output cost$2.00/M tokens
Cost per quality point$0.056
Est. monthly (1M tokens/day)$33.75
Qwen3.5-FlashBest Value
Input cost$0.07/M tokens
Output cost$0.26/M tokens
Cost per quality point$0.008
Est. monthly (1M tokens/day)$4.88

Qwen3.5-Flash offers 86% better value per quality point. At 1M tokens/day, you'd spend $4.88/month with Qwen3.5-Flash vs $33.75/month with Seed-2.0-Lite - a $28.88 monthly difference.

Latency & Speed
Seed-2.0-LiteFaster
Speed score0/100
Qwen3.5-Flash
Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

Seed-2.0-Lite

Customer support chatbot

Suitable for user-facing chat with competitive response times. Qwen3.5-Flash also offers lower per-token costs for high-volume support

Seed-2.0-Lite

Long document analysis

Larger context window (1000K tokens) can process longer documents, contracts, and research papers in a single pass

Qwen3.5-Flash

Batch data extraction

Lower output pricing ($0.26/M) reduces costs when processing thousands of records daily

Qwen3.5-Flash

Creative writing & content

Higher overall composite score (40/100) correlates with better nuance, coherence, and style in long-form content

Seed-2.0-Lite

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

Seed-2.0-Lite
Which Should You Choose?
Our recommendation:
Seed-2.0-Lite

Seed-2.0-Lite and Qwen3.5-Flash are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

Seed-2.0-Lite
Recommended

by ByteDance

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale

by Alibaba

  • Choose for Cost - 86% lower pricing; better value at scale
Capability Comparison
CapabilitySeed-2.0-LiteQwen3.5-Flash
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Seed-2.0-Lite

ByteDance

$2.85
estimated monthly cost

Qwen3.5-Flash

Alibaba

Best Value
$0.4290
estimated monthly cost

Qwen3.5-Flash saves you $2.42/month

That's 85% cheaper than Seed-2.0-Lite at 1,000 tokens/request and 100 requests/day.

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterSeed-2.0-LiteQwen3.5-Flash
Context Window262K1M
Max Output Tokens131,07265,536
Open SourceNoNo
CreatedMar 10, 2026Feb 25, 2026
Last updated: 25m ago

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Seed-2.0-Lite vs Qwen3.5-Flash (2026) | LM Market Cap