ZMIME
Comparison · 3 models · Updated Nov 2, 2026

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

Mistral Large comes out ahead, 45 to 32 and 29 on our weighted score.

  1. Nous Research

    Hermes 3 405B Instruct

    Released Aug 16, 2024

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

    Mistral AI

    Mistral Large

    Released Feb 26, 2024

    45/100
    • ECI122.0
    • Price$0.50 / $1.50
    • Context128K
  3. Cohere

    Aya Expanse 32B

    Released Oct 24, 2024

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

Mistral Large is our pick

Mistral Large is the better all-round choice, scoring 45/100 against Aya Expanse 32B (32) and Hermes 3 405B Instruct (29). It leads on inputs & features. 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 priceMistral Large and Aya Expanse 32BMistral Large $0.75 · Aya Expanse 32B $0.75 · Hermes 3 405B Instruct $1.00 per 1M tokens (3:1 blend)
  • Longest contextHermes 3 405B InstructHermes 3 405B Instruct 131,072 · Mistral Large 128,000 · Aya Expanse 32B 128,000 tokens
  • Widest inputsMistral LargeHermes 3 405B Instruct: Text · Mistral Large: Text, PDFs · 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 InstructMistral LargeAya Expanse 32B
Price50%485353
Inputs & features30%0450
Context window20%252424
Overall100%29/10045/10032/100

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 Mistral Large vs Aya Expanse 32B specifications side by side
SpecificationHermes 3 405B InstructNous ResearchMistral LargeMistral AIAya Expanse 32BCohere
Capability
Capabilities Index (ECI)—122.0—
ECI rank—#153 of 165—
GPQA DiamondGraduate-level science questions—38.8%—
OTIS Mock AIME 2024–2025Competition mathematics—1.9%—
Price per million tokens
Input$1.00$0.50 (best)$0.50 (best)
Output$1.00 (best)$1.50$1.50
Cached input—$0.05—
Blended (3:1)$1.00$0.75 (best)$0.75 (best)
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 5 providersOfficial Mistral APIOfficial Cohere API
Limits
Context window131,072 tokens (best)128,000 tokens128,000 tokens
Max output16,384 tokens102,400 tokens (best)4,000 tokens
Inputs and features
TextYesYesYes
ImagesNoNoNo
PDFsNoYesNo
AudioNoNoNo
VideoNoNoNo
ReasoningNoNoNo
Tool callingNoYesNo
Structured outputNoYesNo
Availability
WeightsOpenProprietaryOpenCC-BY-NC-4.0
API model ID—mistral-large-latestc4ai-aya-expanse-32b
API providers511 (best)2
ReleasedAug 16, 2024Feb 26, 2024Oct 24, 2024
Knowledge cutoffDec 31, 2023Nov 30, 2024—
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
  • Mistral Large$8.00
  • Aya Expanse 32B$8.00
04 — Questions

Which should you choose?

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

Mistral Large is the better all-round choice, scoring 45/100 against Aya Expanse 32B (32) and Hermes 3 405B Instruct (29). It leads on inputs & features. 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, Mistral Large or Aya Expanse 32B?

Mistral Large is cheaper at $0.50 input / $1.50 output per million tokens (official Mistral API price). Aya Expanse 32B costs $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). At a typical mix of three input tokens to one output token, that is $0.75 per million tokens for Mistral Large versus $0.75 for Aya Expanse 32B (1× as much) and $1.00 for Hermes 3 405B Instruct (1.3× 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, Mistral Large has an ECI of 122.0 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, Mistral 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?

Hermes 3 405B Instruct has the largest context window at 131,072 tokens, against 128,000 for Mistral Large and 128,000 for Aya Expanse 32B. Maximum output per response: Hermes 3 405B Instruct up to 16,384, Mistral Large up to 102,400, Aya Expanse 32B up to 4,000 tokens.

Which can read images, PDFs, audio or video?

Hermes 3 405B Instruct accepts text; Mistral Large accepts text and PDFs; Aya Expanse 32B accepts text. Mistral 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; Mistral 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; Mistral Large came out Feb 26, 2024. Knowledge cutoff: Hermes 3 405B Instruct Dec 31, 2023, Mistral Large Nov 30, 2024.

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.