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Mistral Small 3.2 24B vs Llama 3.1 Euryale 70B v2.2

Mistral Small 3.2 24B costs 2.8x less per output token than Llama 3.1 Euryale 70B v2.2 ($0.30 vs $0.85 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Replace Mistral Small 3.2 24B Replace Llama 3.1 Euryale 70B v2.2
Mistral Small 3.2 24BMistral AI
Coding
No data
Overall
No data
Output $/M
$0.30
S Llama 3.1 Euryale 70B v2.2Sao10K
Coding
No data
Overall
No data
Output $/M
$0.85
vs $0.30 vs $0.85 per 1M output tokens. Mistral Small 3.2 24B is 2.8x cheaper.

Mistral Small 3.2 24B or Llama 3.1 Euryale 70B v2.2: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Mistral Small 3.2 24B for output tokens 2.8x cheaper ($0.30 vs $0.85 per million) and a larger context window (256K against 131K tokens).

Model AMistral Small 3.2 24BMistral AINot benchmarkedNo coding benchmarkNo cost per solved taskModel BLlama 3.1 Euryale 70B v2.2Sao10KNot benchmarkedNo coding benchmarkNo cost per solved task

No benchmark has tested both yet. Mistral Small 3.2 24B has results on Design Arena: websites, Design Arena: UI components and Design Arena: game dev; Llama 3.1 Euryale 70B v2.2 has none yet. Compare them on price and context instead.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Mistral Small 3.2 24B not benchmarked, Llama 3.1 Euryale 70B v2.2 not benchmarked.
Widest category
None yet: no category has been tested on both models.
Widest single gap
None yet: no benchmark has tested both models.
Output price
Mistral Small 3.2 24B $0.30 against Llama 3.1 Euryale 70B v2.2 $0.85 per million output tokens, 2.8x apart.
Context window
Mistral Small 3.2 24B takes 256K tokens, Llama 3.1 Euryale 70B v2.2 131K.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

Web designDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
Web design benchmarks for Mistral Small 3.2 24B and Llama 3.1 Euryale 70B v2.2
BenchmarkMistral Small 3.2 24BLlama 3.1 Euryale 70B v2.2Leader
Design Arena: websites896Not measuredOnly Mistral Small 3.2 24B measured
Design Arena: UI components907Not measuredOnly Mistral Small 3.2 24B measured
Design Arena: game dev889Not measuredOnly Mistral Small 3.2 24B measured
Design Arena: data viz929Not measuredOnly Mistral Small 3.2 24B measured
Design Arena: all code categories907Not measuredOnly Mistral Small 3.2 24B measured
Neither model has a result on the other 4 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Mistral Small 3.2 24B$0.0003Fits in one request
Llama 3.1 Euryale 70B v2.2$0.0013Fits in one request

Mistral Small 3.2 24B costs less

Repository review

50K input + 3K output tokens

Mistral Small 3.2 24B$0.0059Fits in one request
Llama 3.1 Euryale 70B v2.2$0.045Fits in one request

Mistral Small 3.2 24B costs less

Agent loop

200K input + 10K output tokens

Mistral Small 3.2 24B$0.023Fits in one request
Llama 3.1 Euryale 70B v2.2$0.178Exceeds the context window

Mistral Small 3.2 24B costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Mistral Small 3.2 24B and Llama 3.1 Euryale 70B v2.2
SpecificationMistral Small 3.2 24BSao10K Llama 3.1 Euryale 70B v2.2
MakerMistral AISao10K
WeightsOpen weightsOpen weights
ReleasedJune 20, 2025August 28, 2024
Context window256K131K
Input $/Mtok$0.10$0.85
Output $/Mtok$0.30$0.85
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Mistral Small 3.2 24B better than Llama 3.1 Euryale 70B v2.2 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Mistral Small 3.2 24B for output tokens 2.8x cheaper ($0.30 vs $0.85 per million) and a larger context window (256K against 131K tokens).

Which is cheaper, Mistral Small 3.2 24B or Llama 3.1 Euryale 70B v2.2?

Mistral Small 3.2 24B costs $0.10 per million input tokens and $0.30 per million output tokens; Llama 3.1 Euryale 70B v2.2 costs $0.85 and $0.85. Cost per solved task is known for neither of them.

Which has the bigger context window, Mistral Small 3.2 24B or Llama 3.1 Euryale 70B v2.2?

Mistral Small 3.2 24B, with 256K tokens against 131K.

Has any benchmark tested both Mistral Small 3.2 24B and Llama 3.1 Euryale 70B v2.2?

No benchmark has tested both yet. Mistral Small 3.2 24B has results on Design Arena: websites, Design Arena: UI components and Design Arena: game dev; Llama 3.1 Euryale 70B v2.2 has none yet. Compare them on price and context instead. Data as of October 22, 2026.

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