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Ministral 3 3B 2512 vs Llama 3.1 Euryale 70B v2.2

Ministral 3 3B 2512 costs 8.5x less per output token than Llama 3.1 Euryale 70B v2.2 ($0.10 vs $0.85 per million). Updated October 23, 2026; no benchmark has tested both models yet.

Replace Ministral 3 3B 2512 Replace Llama 3.1 Euryale 70B v2.2
Ministral 3 3B 2512Mistral AI
Coding
No data
Overall
No data
Output $/M
$0.10
S Llama 3.1 Euryale 70B v2.2Sao10K
Coding
No data
Overall
No data
Output $/M
$0.85
vs $0.10 vs $0.85 per 1M output tokens. Ministral 3 3B 2512 is 8.5x cheaper.

Ministral 3 3B 2512 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 Ministral 3 3B 2512 for output tokens 8.5x cheaper ($0.10 vs $0.85 per million).

Model AMinistral 3 3B 2512Mistral 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. Ministral 3 3B 2512 has results on AA Coding Index, AA Intelligence Index and AA Agentic Index; 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
Ministral 3 3B 2512 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
Ministral 3 3B 2512 $0.10 against Llama 3.1 Euryale 70B v2.2 $0.85 per million output tokens, 8.5x apart.
Context window
Both take 131K tokens.

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.

CodingDirectional onlySix of these boards feed the Vibe Coding Index1 board measured
Coding benchmarks for Ministral 3 3B 2512 and Llama 3.1 Euryale 70B v2.2
BenchmarkMinistral 3 3B 2512Llama 3.1 Euryale 70B v2.2Leader
AA Coding Index4.8Not measuredOnly Ministral 3 3B 2512 measured
Neither model has a result on the other 42 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Intelligence benchmarks for Ministral 3 3B 2512 and Llama 3.1 Euryale 70B v2.2
BenchmarkMinistral 3 3B 2512Llama 3.1 Euryale 70B v2.2Leader
AA Intelligence Index4.8Not measuredOnly Ministral 3 3B 2512 measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Agentic work benchmarks for Ministral 3 3B 2512 and Llama 3.1 Euryale 70B v2.2
BenchmarkMinistral 3 3B 2512Llama 3.1 Euryale 70B v2.2Leader
AA Agentic Index0.8Not measuredOnly Ministral 3 3B 2512 measured
Neither model has a result on the other 41 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
Web design benchmarks for Ministral 3 3B 2512 and Llama 3.1 Euryale 70B v2.2
BenchmarkMinistral 3 3B 2512Llama 3.1 Euryale 70B v2.2Leader
Design Arena: websites1027Not measuredOnly Ministral 3 3B 2512 measured
Design Arena: game dev948Not measuredOnly Ministral 3 3B 2512 measured
Design Arena: 3D963Not measuredOnly Ministral 3 3B 2512 measured
Design Arena: all code categories1009Not measuredOnly Ministral 3 3B 2512 measured
Neither model has a result on the other 5 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

Ministral 3 3B 2512$0.0001Fits in one request
Llama 3.1 Euryale 70B v2.2$0.0013Fits in one request

Ministral 3 3B 2512 costs less

Repository review

50K input + 3K output tokens

Ministral 3 3B 2512$0.0053Fits in one request
Llama 3.1 Euryale 70B v2.2$0.045Fits in one request

Ministral 3 3B 2512 costs less

Agent loop

200K input + 10K output tokens

Ministral 3 3B 2512$0.021Exceeds the context window
Llama 3.1 Euryale 70B v2.2$0.178Exceeds the context window

Ministral 3 3B 2512 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 Ministral 3 3B 2512 and Llama 3.1 Euryale 70B v2.2
SpecificationMistral Ministral 3 3B 2512Sao10K Llama 3.1 Euryale 70B v2.2
MakerMistral AISao10K
WeightsOpen weightsOpen weights
ReleasedDecember 2, 2025August 28, 2024
Context window131K131K
Input $/Mtok$0.10$0.85
Output $/Mtok$0.10$0.85
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Ministral 3 3B 2512 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 Ministral 3 3B 2512 for output tokens 8.5x cheaper ($0.10 vs $0.85 per million).

Which is cheaper, Ministral 3 3B 2512 or Llama 3.1 Euryale 70B v2.2?

Ministral 3 3B 2512 costs $0.10 per million input tokens and $0.10 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, Ministral 3 3B 2512 or Llama 3.1 Euryale 70B v2.2?

Neither: both take 131K tokens.

Has any benchmark tested both Ministral 3 3B 2512 and Llama 3.1 Euryale 70B v2.2?

No benchmark has tested both yet. Ministral 3 3B 2512 has results on AA Coding Index, AA Intelligence Index and AA Agentic Index; Llama 3.1 Euryale 70B v2.2 has none yet. Compare them on price and context instead. Data as of October 23, 2026.

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