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

inclusionAI: Ling-2.6-flash vs Seed 2.1 Turbo benchmark

Name: inclusionAI: Ling-2.6-flash vs Seed 2.1 Turbo AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares inclusionAI: Ling-2.6-flash (inclusionai) and Seed 2.1 Turbo (ByteDance) using the latest snapshots we have as of Aug 17, 2026. inclusionAI: Ling-2.6-flash wins on output price at $0.03/1M. inclusionAI: Ling-2.6-flash has the larger context window (262k tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

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inclusionai

inclusionAI: Ling-2.6-flash

Auto-discovered from OpenRouter (inclusionai/ling-2.6-flash). Preview until a second source matches.

$0.03/1M out

ByteDance

Seed 2.1 Turbo

ByteDance Seed 2.1 Turbo, listed on public model timelines as an Aug 10 2026 API drop.

Seed 2.1Elo 1,472$2.5/1M out

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Model A

Model B

Quick vs:vs Claude Opus 4.5 vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

inclusionAI: Ling-2.6-flash (2)vsSeed 2.1 Turbo (7)

inclusionAI: Ling-2.6-flash: 2W (22%)Overall: Seed 2.1 TurboSeed 2.1 Turbo: 7W (78%)

← inclusionAI: Ling-2.6-flash1 tiesSeed 2.1 Turbo →

Seed 2.1 Turbo (5/5)

Intelligence & Reasoning

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

Preference Elo

—vs1,472

Coding Elo

—vs1,480

SWE-bench

—vs63.2%

LiveBench

—vs64.8%

GPQA Diamond

—vs76.8%

inclusionAI: Ling-2.6-flash: 0WSeed 2.1 Turbo: 5W

Seed 2.1 Turbo (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

—vs160 tok/s

Time to first token

—vs120 ms

inclusionAI: Ling-2.6-flash: 0WSeed 2.1 Turbo: 2W

inclusionAI: Ling-2.6-flash (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.03/1Mvs$2.5/1M

Input price

$0.01/1Mvs$0.5/1M

Context window

262kvs262k

inclusionAI: Ling-2.6-flash: 2WSeed 2.1 Turbo: 0W

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 AdvantageSeed 2.1 Turbo 4/6

Preference Elo

No shared data

Throughput Speed

No shared data

Token Price Efficiency

inclusionAI: Ling-2.6-flash

$2.47/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

—

EloHigh is better

1,472

Code Elo

High is better

—

Code EloHigh is better

1,480

LiveBench

High is better

—

LiveBenchHigh is better

64.8%

SWE-bench

High is better

—

SWE-benchHigh is better

63.2%

GPQA

High is better

—

GPQAHigh is better

76.8%

TTFT

Low is better

—

TTFTLow is better

120 ms

Speed

High is better

—

SpeedHigh is better

160 tok/s

In $

Low is better

+4900%$0.01 / 1M

In $Low is better

$0.50 / 1M

Out $

Low is better

+8233%$0.03 / 1M

Out $Low is better

$2.50 / 1M

Context

High is better

262k

ContextHigh is better

262k

Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 99% with inclusionAI: Ling-2.6-flash

Monthly Volume50M tokens/mo

Quick Presets:

Token Ratio (In vs Out)70% In / 30% Out

RAG / Search (10% out)Coding / Chat (50% out)

inclusionAI: Ling-2.6-flash$0.80 / mo

In: $0.35Out: $0.45

Seed 2.1 Turbo$55.00 / mo

In: $17.5Out: $37.5

Estimated Cost Delta

inclusionAI: Ling-2.6-flash is estimated to save $54.20/month ($650/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
inclusionAI: Ling-2.6-flash:Pick inclusionAI: Ling-2.6-flash when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatinclusionAI: Ling-2.6-flash

Lower output list price ($0.03/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGinclusionAI: Ling-2.6-flash

Larger window (262k).

Screenshots / visionSeed 2.1 Turbo

Seed 2.1 Turbo is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	inclusionAI: Ling-2.6-flash	Lower output list price ($0.03/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	inclusionAI: Ling-2.6-flash	Larger window (262k).
Screenshots / vision	Seed 2.1 Turbo	Seed 2.1 Turbo is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news

launchAug 10, 2026

Seed 2.1 Turbo (Aug 10): ByteDance’s API drop on the public timeline

Listed on public model timelines as an Aug 10 2026 API drop. Preview-quality story, indexable because we have a full snapshot.

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LIVE

inclusionai

inclusionAI: Ling-2.6-flash

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$0.03/1M

ByteDance

Seed 2.1 Turbo

Elo 1,472

LiveBench64.8%

SWE-bench63.2%

Speed160 tok/s

Output cost$2.5/1M

Frequently Asked Questions

Which is better overall, inclusionAI: Ling-2.6-flash or Seed 2.1 Turbo?: 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, inclusionAI: Ling-2.6-flash or Seed 2.1 Turbo?: 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?: inclusionAI: Ling-2.6-flash output tokens are $0.03/1M versus $2.5/1M. Input prices and retry rates still move the real bill.
Which is faster, inclusionAI: Ling-2.6-flash or Seed 2.1 Turbo?: We do not have TTFT for both models.
Which has the larger context window?: inclusionAI: Ling-2.6-flash accepts 262k tokens versus 262k.
Can I self-host either model?: Neither model is marked open-weights here. You are comparing hosted APIs.
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. inclusionAI: Ling-2.6-flash and Seed 2.1 Turbo Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All inclusionAI: Ling-2.6-flash matchups →|All Seed 2.1 Turbo matchups →

Doubao Pro 1.5 vs Seed 2.1 Turbo Doubao Lite 1.5 vs Seed 2.1 Turbo Claude Opus 4.5 vs Seed 2.1 Turbo Claude Opus 4.6 vs Seed 2.1 Turbo Claude Sonnet 4.5 vs Seed 2.1 Turbo GPT-5 vs Seed 2.1 Turbo

inclusionAI: Ling-2.6-flash vs Seed 2.1 Turbo benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

inclusionAI: Ling-2.6-flash (2)vsSeed 2.1 Turbo (7)

inclusionAI: Ling-2.6-flash: 2W (22%)Overall: Seed 2.1 TurboSeed 2.1 Turbo: 7W (78%)

← inclusionAI: Ling-2.6-flash1 tiesSeed 2.1 Turbo →

Seed 2.1 Turbo (5/5)

Intelligence & Reasoning

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

Preference Elo

—vs1,472

Coding Elo

—vs1,480

SWE-bench

—vs63.2%

LiveBench

—vs64.8%

GPQA Diamond

—vs76.8%

inclusionAI: Ling-2.6-flash: 0WSeed 2.1 Turbo: 5W

Seed 2.1 Turbo (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

—vs160 tok/s

Time to first token

—vs120 ms

inclusionAI: Ling-2.6-flash: 0WSeed 2.1 Turbo: 2W

inclusionAI: Ling-2.6-flash (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.03/1Mvs$2.5/1M

Input price

$0.01/1Mvs$0.5/1M

Context window

262kvs262k

inclusionAI: Ling-2.6-flash: 2WSeed 2.1 Turbo: 0W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatinclusionAI: Ling-2.6-flash

Lower output list price ($0.03/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGinclusionAI: Ling-2.6-flash

Larger window (262k).

Screenshots / visionSeed 2.1 Turbo

Seed 2.1 Turbo is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	inclusionAI: Ling-2.6-flash	Lower output list price ($0.03/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	inclusionAI: Ling-2.6-flash	Larger window (262k).
Screenshots / vision	Seed 2.1 Turbo	Seed 2.1 Turbo is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, inclusionAI: Ling-2.6-flash or Seed 2.1 Turbo?

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, inclusionAI: Ling-2.6-flash or Seed 2.1 Turbo?

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?

inclusionAI: Ling-2.6-flash output tokens are $0.03/1M versus $2.5/1M. Input prices and retry rates still move the real bill.

Which is faster, inclusionAI: Ling-2.6-flash or Seed 2.1 Turbo?

We do not have TTFT for both models.

Which has the larger context window?

inclusionAI: Ling-2.6-flash accepts 262k tokens versus 262k.

Can I self-host either model?

Neither model is marked open-weights here. You are comparing hosted APIs.

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. inclusionAI: Ling-2.6-flash and Seed 2.1 Turbo Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

No shared data

No shared data

inclusionAI: Ling-2.6-flash

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Seed 2.1 Turbo (Aug 10): ByteDance’s API drop on the public timeline

Cast Your Matchup Vote

Community Discussions (0)

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CompareLLM Matrix

inclusionAI: Ling-2.6-flash

Seed 2.1 Turbo

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

No shared data

No shared data

inclusionAI: Ling-2.6-flash

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Seed 2.1 Turbo (Aug 10): ByteDance’s API drop on the public timeline

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

inclusionAI: Ling-2.6-flash

Seed 2.1 Turbo

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons