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Comparison · 3 models · Updated Nov 2, 2026

Hermes 3 405B Instruct vs Vision Large vs Aya Expanse 32B

Vision Large comes out ahead, 42 to 32 and 29 on our weighted score, though Aya Expanse 32B is 15× cheaper per token.

  1. Nous Research

    Hermes 3 405B Instruct

    Released Aug 16, 2024

    29/100
    • ECI—
    • Price$1.00 / $1.00
    • Context131K
  2. Our pick

    Vispark

    Vision Large

    Released May 15, 2024

    42/100
    • ECI—
    • Price$7.37 / $22.11
    • Context1M
  3. Cohere

    Aya Expanse 32B

    Released Oct 24, 2024

    32/100
    • ECI—
    • Price$0.50 / $1.50
    • Context128K
01 — Verdict

Vision Large is our pick

Vision Large is the better all-round choice, scoring 42/100 against Aya Expanse 32B (32) and Hermes 3 405B Instruct (29). It leads on inputs & features and context window. Aya Expanse 32B wins on price. 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 priceAya Expanse 32BAya Expanse 32B $0.75 · Hermes 3 405B Instruct $1.00 · Vision Large $11.05 per 1M tokens (3:1 blend)
  • Longest contextVision LargeVision Large 1,000,000 · Hermes 3 405B Instruct 131,072 · Aya Expanse 32B 128,000 tokens
  • Widest inputsVision LargeHermes 3 405B Instruct: Text · Vision Large: Text, Images, PDFs, Audio, Video · Aya Expanse 32B: Text
  • Self-hostingHermes 3 405B Instruct and Aya Expanse 32BPublishes downloadable weights (CC-BY-NC-4.0)
How the score is built
MeasureWeightHermes 3 405B InstructVision LargeAya Expanse 32B
Price50%48053
Inputs & features30%01000
Context window20%256024
Overall100%29/10042/10032/100

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.

Hermes 3 405B Instruct vs Vision Large vs Aya Expanse 32B specifications side by side
SpecificationHermes 3 405B InstructNous ResearchVision LargeVisparkAya Expanse 32BCohere
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input$1.00$7.37$0.50 (best)
Output$1.00 (best)$22.11$1.50
Cached input———
Blended (3:1)$1.00$11.05$0.75 (best)
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 5 providersOfficial Vispark APIOfficial Cohere API
Limits
Context window131,072 tokens1,000,000 tokens (best)128,000 tokens
Max output16,384 tokens65,536 tokens (best)4,000 tokens
Inputs and features
TextYesYesYes
ImagesNoYesNo
PDFsNoYesNo
AudioNoYesNo
VideoNoYesNo
ReasoningNoYesNo
Tool callingNoYesNo
Structured outputNoYesNo
Availability
WeightsOpenProprietaryOpenCC-BY-NC-4.0
API model ID—vispark/vision-largec4ai-aya-expanse-32b
API providers5 (best)12
ReleasedAug 16, 2024May 15, 2024Oct 24, 2024
Knowledge cutoffDec 31, 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.

  • Hermes 3 405B Instruct$12.00
  • Vision Large$117.92
  • Aya Expanse 32B$8.00
04 — Questions

Which should you choose?

Which is better: Hermes 3 405B Instruct, Vision Large or Aya Expanse 32B?

Vision Large is the better all-round choice, scoring 42/100 against Aya Expanse 32B (32) and Hermes 3 405B Instruct (29). It leads on inputs & features and context window. Aya Expanse 32B wins on price. 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, Hermes 3 405B Instruct, Vision Large or Aya Expanse 32B?

Aya Expanse 32B is cheaper at $0.50 input / $1.50 output per million tokens (official Cohere API price). Hermes 3 405B Instruct costs $1.00 input / $1.00 output per million tokens (median across 5 API providers); Vision Large costs $7.37 input / $22.11 output per million tokens (official Vispark API price). At a typical mix of three input tokens to one output token, that is $0.75 per million tokens for Aya Expanse 32B versus $1.00 for Hermes 3 405B Instruct (1.3× as much) and $11.05 for Vision Large (15× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. Hermes 3 405B Instruct has not been scored yet, Vision Large has not been scored yet and Aya Expanse 32B has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Hermes 3 405B Instruct, Vision Large and Aya Expanse 32B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Hermes 3 405B Instruct and Aya Expanse 32B does not support tool calling, which most coding agents need.

Which has the bigger context window?

Vision Large has the largest context window at 1,000,000 tokens, against 131,072 for Hermes 3 405B Instruct and 128,000 for Aya Expanse 32B. Maximum output per response: Hermes 3 405B Instruct up to 16,384, Vision Large up to 65,536, Aya Expanse 32B up to 4,000 tokens.

Which can read images, PDFs, audio or video?

Hermes 3 405B Instruct accepts text; Vision Large accepts text, images, PDFs, audio and video; Aya Expanse 32B accepts text. Vision Large handles the widest range of inputs.

Are any of these open source?

Hermes 3 405B Instruct and Aya Expanse 32B publishes its weights (CC-BY-NC-4.0) and can be self-hosted; Vision Large is proprietary.

Which is newer?

Aya Expanse 32B is the newest, released Oct 24, 2024. Hermes 3 405B Instruct came out Aug 16, 2024; Vision Large came out May 15, 2024. Knowledge cutoff: Hermes 3 405B Instruct Dec 31, 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 Nov 2, 2026.