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Hy-MT2-1.8B vs Voxtral Small 24B 2507

Hy-MT2-1.8B costs 1.7x less per output token than Voxtral Small 24B 2507 ($0.177 vs $0.30 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Hy-MT2-1.8BTencent
Coding
No data
Overall
No data
Output $/M
$0.177
Voxtral Small 24B 2507Mistral AI
Coding
No data
Overall
No data
Output $/M
$0.30
vs $0.177 vs $0.30 per 1M output tokens. Hy-MT2-1.8B is 1.7x cheaper.

Hy-MT2-1.8B or Voxtral Small 24B 2507: which to pick

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

Pick Hy-MT2-1.8B for output tokens 1.7x cheaper ($0.177 vs $0.30 per million).

No benchmark has tested either model yet, so price and context are the only way to compare them.

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
Hy-MT2-1.8B not benchmarked, Voxtral Small 24B 2507 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
Hy-MT2-1.8B $0.177 against Voxtral Small 24B 2507 $0.30 per million output tokens, 1.7x apart.
Context window
Hy-MT2-1.8B takes 8K tokens, Voxtral Small 24B 2507 33K.

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.

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

Hy-MT2-1.8B$0.0001Fits in one request
Voxtral Small 24B 2507$0.0003Fits in one request

Hy-MT2-1.8B costs less

Repository review

50K input + 3K output tokens

Hy-MT2-1.8B$0.0027Exceeds the context window
Voxtral Small 24B 2507$0.0059Exceeds the context window

Hy-MT2-1.8B costs less

Agent loop

200K input + 10K output tokens

Hy-MT2-1.8B$0.011Exceeds the context window
Voxtral Small 24B 2507$0.023Exceeds the context window

Hy-MT2-1.8B 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 Hy-MT2-1.8B and Voxtral Small 24B 2507
SpecificationTencent Hy-MT2-1.8BMistral Voxtral Small 24B 2507
MakerTencentMistral AI
WeightsOpen weightsOpen weights
ReleasedAugust 20, 2026October 30, 2025
Context window8K33K
Input $/Mtok$0.044$0.10
Output $/Mtok$0.177$0.30
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Hy-MT2-1.8B better than Voxtral Small 24B 2507 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Hy-MT2-1.8B for output tokens 1.7x cheaper ($0.177 vs $0.30 per million).

Which is cheaper, Hy-MT2-1.8B or Voxtral Small 24B 2507?

Hy-MT2-1.8B costs $0.044 per million input tokens and $0.177 per million output tokens; Voxtral Small 24B 2507 costs $0.10 and $0.30. Cost per solved task is known for neither of them.

Which has the bigger context window, Hy-MT2-1.8B or Voxtral Small 24B 2507?

Voxtral Small 24B 2507, with 33K tokens against 8K.

Has any benchmark tested both Hy-MT2-1.8B and Voxtral Small 24B 2507?

No benchmark has tested either model yet, so price and context are the only way to compare them. Data as of October 22, 2026.

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