Enter opens the highlighted result. Esc closes.

o1-pro vs Hy-MT2-7B

Hy-MT2-7B costs 2033.9x less per output token than o1-pro ($0.295 vs $600.00 per million). Updated October 21, 2026; no benchmark has tested both models yet.

o1-proOpenAI
Coding
No data
Overall
12.4
Output $/M
$600.00
Hy-MT2-7BTencent
Coding
No data
Overall
No data
Output $/M
$0.295
vs $600.00 vs $0.295 per 1M output tokens. Hy-MT2-7B is 2033.9x cheaper.

o1-pro or Hy-MT2-7B: which to pick

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

Pick o1-pro for a larger context window (200K against 8K tokens).

No benchmark has tested both yet. o1-pro has results on AA Intelligence Index and ARC-AGI; Hy-MT2-7B 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
o1-pro not benchmarked, Hy-MT2-7B 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
o1-pro $600.00 against Hy-MT2-7B $0.295 per million output tokens, 2033.9x apart.
Context window
o1-pro takes 200K tokens, Hy-MT2-7B 8K.

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.

IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Intelligence benchmarks for o1-pro and Hy-MT2-7B
Benchmarko1-proHy-MT2-7BLeader
AA Intelligence Index12.4Not measuredOnly o1-pro measured
Neither model has a result on the other 1 board here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Reasoning benchmarks for o1-pro and Hy-MT2-7B
Benchmarko1-proHy-MT2-7BLeader
ARC-AGI23.3%Not measuredOnly o1-pro measured
Neither model has a result on the other 20 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

o1-pro$0.450Fits in one request
Hy-MT2-7B$0.0002Fits in one request

Hy-MT2-7B costs less

Repository review

50K input + 3K output tokens

o1-pro$9.30Fits in one request
Hy-MT2-7B$0.0046Exceeds the context window

Hy-MT2-7B costs less

Agent loop

200K input + 10K output tokens

o1-pro$36.00Exceeds the context window
Hy-MT2-7B$0.018Exceeds the context window

Hy-MT2-7B 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 o1-pro and Hy-MT2-7B
SpecificationOpenAI o1-proTencent Hy-MT2-7B
MakerOpenAITencent
WeightsNo public weights listedOpen weights
ReleasedMarch 19, 2025August 19, 2026
Context window200K8K
Input $/Mtok$150.00$0.074
Output $/Mtok$600.00$0.295
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is o1-pro better than Hy-MT2-7B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick o1-pro for a larger context window (200K against 8K tokens).

Which is cheaper, o1-pro or Hy-MT2-7B?

o1-pro costs $150.00 per million input tokens and $600.00 per million output tokens; Hy-MT2-7B costs $0.074 and $0.295. Cost per solved task is known for neither of them.

Which has the bigger context window, o1-pro or Hy-MT2-7B?

o1-pro, with 200K tokens against 8K.

Has any benchmark tested both o1-pro and Hy-MT2-7B?

No benchmark has tested both yet. o1-pro has results on AA Intelligence Index and ARC-AGI; Hy-MT2-7B has none yet. Compare them on price and context instead. Data as of October 21, 2026.

Compare next