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Comparison · 3 models · Updated Oct 4, 2026

Ministral 14B vs Seed 2.0 Lite vs Trinity Large Preview

Seed 2.0 Lite comes out ahead, 62 to 45 and 34 on our weighted score.

  1. Mistral AI

    Ministral 14B

    Released Dec 2, 2025

    45/100
    • ECI—
    • Price$0.20 / $0.20
    • Context262K
  2. Our pick

    ByteDance Seed

    Seed 2.0 Lite

    Released Feb 14, 2026

    62/100
    • ECI—
    • Price$0.089 / $0.534
    • Context256K
  3. Arcee AI

    Trinity Large Preview

    Released Jan 27, 2026

    34/100
    • ECI—
    • Price—
    • Context524K
01 — Verdict

Seed 2.0 Lite is our pick

Seed 2.0 Lite is the better all-round choice, scoring 62/100 against Ministral 14B (45) and Trinity Large Preview (34). It leads on inputs & features. Trinity Large Preview wins on context window. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

  • CapabilityNot enough dataNo independent benchmark covers every model here yet
  • Lowest priceMinistral 14BMinistral 14B $0.20 · Seed 2.0 Lite $0.20 per 1M tokens (3:1 blend) · Trinity Large Preview unpriced
  • Longest contextTrinity Large PreviewTrinity Large Preview 524,288 · Ministral 14B 262,144 · Seed 2.0 Lite 256,000 tokens
  • Widest inputsSeed 2.0 LiteMinistral 14B: Text, Images · Seed 2.0 Lite: Text, Images, Video · Trinity Large Preview: Text
  • Self-hostingMinistral 14B and Trinity Large PreviewPublishes downloadable weights (Apache-2.0 and OpenMDW-1.1)
How the score is built
MeasureWeightMinistral 14BSeed 2.0 LiteTrinity Large Preview
Inputs & features60%508025
Context window40%373649
Overall100%45/10062/10034/100

Left out because at least one model lacks the data: capability and price. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Ministral 14B vs Seed 2.0 Lite vs Trinity Large Preview specifications side by side
SpecificationMinistral 14BMistral AISeed 2.0 LiteByteDance SeedTrinity Large PreviewArcee AI
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input$0.20$0.089 (best)—
Output$0.20 (best)$0.534—
Cached input—$0.018—
Blended (3:1)$0.20 (best)$0.20—
Long-context rateSame rateOver 32K: $0.134 / $0.802—
Price sourceMedian of 1 providersOfficial Volcengine Ark API—
Limits
Context window262,144 tokens256,000 tokens524,288 tokens (best)
Max output262,144 tokens (best)32,000 tokens262,144 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesYesNo
PDFsNoNoNo
AudioNoNoNo
VideoNoYesNo
ReasoningNoYesminimal · low · medium · high · xhigh · maxNo
Tool callingYesYesYes
Structured outputNoYesNo
Availability
WeightsOpenApache-2.0ProprietaryOpenOpenMDW-1.1
API model ID—doubao-seed-2-0-lite-260428—
API providers16 (best)1
ReleasedDec 2, 2025Feb 14, 2026Jan 27, 2026
Knowledge cutoff———
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • Ministral 14B$2.40
  • Seed 2.0 Lite$1.96
  • Trinity Large Preview—
04 — Questions

Which should you choose?

Which is better: Ministral 14B, Seed 2.0 Lite or Trinity Large Preview?

Seed 2.0 Lite is the better all-round choice, scoring 62/100 against Ministral 14B (45) and Trinity Large Preview (34). It leads on inputs & features. Trinity Large Preview wins on context window. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

Which is cheaper, Ministral 14B, Seed 2.0 Lite or Trinity Large Preview?

Ministral 14B is cheaper at $0.20 input / $0.20 output per million tokens (median across 1 API provider). Seed 2.0 Lite costs $0.089 input / $0.534 output per million tokens (official Volcengine Ark API price). At a typical mix of three input tokens to one output token, that is $0.20 per million tokens for Ministral 14B versus $0.20 for Seed 2.0 Lite (1× as much). Trinity Large Preview has no published per-token price.

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. Ministral 14B has not been scored yet, Seed 2.0 Lite has not been scored yet and Trinity Large Preview has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Ministral 14B, Seed 2.0 Lite and Trinity Large Preview yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.

Which has the bigger context window?

Trinity Large Preview has the largest context window at 524,288 tokens, against 262,144 for Ministral 14B and 256,000 for Seed 2.0 Lite. Maximum output per response: Ministral 14B up to 262,144, Seed 2.0 Lite up to 32,000, Trinity Large Preview up to 262,144 tokens.

Which can read images, PDFs, audio or video?

Ministral 14B accepts text and images; Seed 2.0 Lite accepts text, images and video; Trinity Large Preview accepts text. Seed 2.0 Lite handles the widest range of inputs.

Are any of these open source?

Ministral 14B and Trinity Large Preview publishes its weights (Apache-2.0 and OpenMDW-1.1) and can be self-hosted; Seed 2.0 Lite is proprietary.

Which is newer?

Seed 2.0 Lite is the newest, released Feb 14, 2026. Trinity Large Preview came out Jan 27, 2026; Ministral 14B came out Dec 2, 2025.

How do you decide the winner?

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.