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o1-pro vs Qwen3.8 Max Prime

Qwen3.8 Max Prime costs 50.0x less per output token than o1-pro ($12.00 vs $600.00 per million). Updated October 21, 2026; no benchmark has tested both models yet.

o1-proOpenAI
Coding
No data
Overall
No data
Output $/M
$600.00
Qwen3.8 Max PrimeQwen
Coding
No data
Overall
No data
Output $/M
$12.00
vs $600.00 vs $12.00 per 1M output tokens. Qwen3.8 Max Prime is 50.0x cheaper.

o1-pro or Qwen3.8 Max Prime: which to pick

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

Compare them on price, context and the boards below.

No benchmark has tested both yet. o1-pro has results on AA Intelligence Index and ARC-AGI; Qwen3.8 Max Prime 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, Qwen3.8 Max Prime 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 Qwen3.8 Max Prime $12.00 per million output tokens, 50.0x apart.
Context window
o1-pro takes 200K tokens, Qwen3.8 Max Prime 1M.

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 Qwen3.8 Max Prime
Benchmarko1-proQwen3.8 Max PrimeLeader
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 Qwen3.8 Max Prime
Benchmarko1-proQwen3.8 Max PrimeLeader
ARC-AGI23.3%Not measuredOnly o1-pro measured
Neither model has a result on the other 21 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
Qwen3.8 Max Prime$0.010Fits in one request

Qwen3.8 Max Prime costs less

Repository review

50K input + 3K output tokens

o1-pro$9.30Fits in one request
Qwen3.8 Max Prime$0.236Fits in one request

Qwen3.8 Max Prime costs less

Agent loop

200K input + 10K output tokens

o1-pro$36.00Exceeds the context window
Qwen3.8 Max Prime$0.920Fits in one request

Qwen3.8 Max Prime 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 Qwen3.8 Max Prime
SpecificationOpenAI o1-proQwen3.8 Max Prime
MakerOpenAIQwen
WeightsNo public weights listedNo public weights listed
ReleasedMarch 19, 2025September 23, 2026
Context window200K1M
Input $/Mtok$150.00$4.00
Output $/Mtok$600.00$12.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is o1-pro better than Qwen3.8 Max Prime for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, o1-pro or Qwen3.8 Max Prime?

o1-pro costs $150.00 per million input tokens and $600.00 per million output tokens; Qwen3.8 Max Prime costs $4.00 and $12.00. Cost per solved task is known for neither of them.

Which has the bigger context window, o1-pro or Qwen3.8 Max Prime?

Qwen3.8 Max Prime, with 1M tokens against 200K.

Has any benchmark tested both o1-pro and Qwen3.8 Max Prime?

No benchmark has tested both yet. o1-pro has results on AA Intelligence Index and ARC-AGI; Qwen3.8 Max Prime has none yet. Compare them on price and context instead. Data as of October 21, 2026.

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