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Comparison · 2 models · Updated Oct 4, 2026

Llama-3.1-8B-Instruct vs Trendyol Asure 12B

Too close to call on our weighted score (Llama-3.1-8B-Instruct 56, Trendyol Asure 12B 54). The right pick depends on what you value most.

  1. Meta

    Llama-3.1-8B-Instruct

    Released Jul 23, 2024

    56/100
    • ECI116.6
    • Price$0.152 / $0.167
    • Context128K
    Full specs Remove Llama-3.1-8B-Instruct

  2. Trendyol

    Trendyol Asure 12B

    Released Feb 19, 2026

    54/100
    • ECI—
    • Price$0.10 / $0.50
    • Context131K
    Full specs Remove Trendyol Asure 12B

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Too close to call

It is close. Our weighted score puts them within 2 points (Llama-3.1-8B-Instruct 56/100, Trendyol Asure 12B 54/100), so choose by what matters most for your work: Llama-3.1-8B-Instruct on price and Trendyol Asure 12B for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. 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 priceLlama-3.1-8B-InstructLlama-3.1-8B-Instruct $0.156 · Trendyol Asure 12B $0.20 per 1M tokens (3:1 blend)
  • Longest contextTrendyol Asure 12BTrendyol Asure 12B 131,072 · Llama-3.1-8B-Instruct 128,000 tokens
  • Widest inputsTrendyol Asure 12BLlama-3.1-8B-Instruct: Text · Trendyol Asure 12B: Text, Images
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightLlama-3.1-8B-InstructTrendyol Asure 12B
Price50%8883
Inputs & features30%2525
Context window20%2424
Overall100%56/10054/100

Left out because at least one model lacks the data: capability. 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.

Llama-3.1-8B-Instruct vs Trendyol Asure 12B specifications side by side
SpecificationLlama-3.1-8B-InstructMetaTrendyol Asure 12BTrendyol
Capability
Capabilities Index (ECI)116.6—
ECI rank#145 of 148—
GPQA DiamondGraduate-level science questions27.0%—
OTIS Mock AIME 2024–2025Competition mathematics1.7%—
Price per million tokens
Input$0.152$0.10 (best)
Output$0.167 (best)$0.50
Cached input——
Blended (3:1)$0.156 (best)$0.20
Long-context rateSame rateSame rate
Price sourceMedian of 9 providersMedian of 1 providers
Limits
Context window128,000 tokens131,072 tokens (best)
Max output4,096 tokens—
Inputs and features
TextYesYes
ImagesNoYes
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingYesNo
Structured outputNoNo
Availability
WeightsOpenOpenGemma
API model ID——
API providers9 (best)1
ReleasedJul 23, 2024Feb 19, 2026
Knowledge cutoffDec 2023—
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.

  • Llama-3.1-8B-Instruct$1.85
  • Trendyol Asure 12B$2.00
04 — Questions

Which should you choose?

Which is better: Llama-3.1-8B-Instruct or Trendyol Asure 12B?

It is close. Our weighted score puts them within 2 points (Llama-3.1-8B-Instruct 56/100, Trendyol Asure 12B 54/100), so choose by what matters most for your work: Llama-3.1-8B-Instruct on price and Trendyol Asure 12B for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

Which is cheaper, Llama-3.1-8B-Instruct or Trendyol Asure 12B?

Llama-3.1-8B-Instruct is cheaper at $0.152 input / $0.167 output per million tokens (median across 9 API providers). Trendyol Asure 12B costs $0.10 input / $0.50 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.156 per million tokens for Llama-3.1-8B-Instruct versus $0.20 for Trendyol Asure 12B (1.3× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Llama-3.1-8B-Instruct has an ECI of 116.6 and Trendyol Asure 12B has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Llama-3.1-8B-Instruct and Trendyol Asure 12B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Trendyol Asure 12B does not support tool calling, which most coding agents need.

Which has the bigger context window?

Trendyol Asure 12B has the largest context window at 131,072 tokens, against 128,000 for Llama-3.1-8B-Instruct. Maximum output per response: Llama-3.1-8B-Instruct up to 4,096 tokens.

Which can read images, PDFs, audio or video?

Llama-3.1-8B-Instruct accepts text; Trendyol Asure 12B accepts text and images. Trendyol Asure 12B handles the widest range of inputs.

Are any of these open source?

Yes, both publish their weights (Gemma), so you can self-host them.

Which is newer?

Trendyol Asure 12B is the newest, released Feb 19, 2026. Llama-3.1-8B-Instruct came out Jul 23, 2024. Knowledge cutoff: Llama-3.1-8B-Instruct Dec 2023.

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.

05 — Keep comparing

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