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Moondream 3.1 vs o3 Pro

Updated October 21, 2026. 0 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

M Moondream 3.1Moondream
Coding
No data
Overall
No data
Output $/M
$2.50
o3 ProOpenAI
Coding
No data
Overall
21.9
Output $/M
$80.00
vs $2.50 vs $80.00 per 1M output tokens. Moondream 3.1 is 32.0x cheaper.

Decision reading

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

Moondream 3.1 has the edge where output tokens cost 32.0x less.

Shared results
0
Moondream 3.1 only
0
o3 Pro only
11
Like-for-like categories
0 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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
Moondream 3.1 not benchmarked, o3 Pro not benchmarked.
Widest category
No category has a result for both models.
Widest single gap
No benchmark has a result for both models.
Output price
Moondream 3.1 $2.50 against o3 Pro $80.00 per million output tokens, 32.0x apart.
Context window
Moondream 3.1 takes 32K tokens, o3 Pro 200K.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

CodingDirectional onlySix of these boards feed the Vibe Coding Index2 boards, none shared
Coding benchmarks for Moondream 3.1 and o3 Pro
BenchmarkMoondream 3.1o3 ProLeader
Aider polyglotNot measured84.9%Only o3 Pro measured
WeirdMLNot measured58.2%Only o3 Pro measured
Neither model has a result on the other 36 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Moondream 3.1 and o3 Pro
BenchmarkMoondream 3.1o3 ProLeader
AA Intelligence IndexNot measured21.9Only o3 Pro measured
Epoch Capabilities IndexNot measured147.3Only o3 Pro measured
Agentic workNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Agentic work benchmarks for Moondream 3.1 and o3 Pro
BenchmarkMoondream 3.1o3 ProLeader
Neither model has a result on 39 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Reasoning benchmarks for Moondream 3.1 and o3 Pro
BenchmarkMoondream 3.1o3 ProLeader
GPQA Diamond (Artificial Analysis run)Not measured84.5%Only o3 Pro measured
ARC-AGINot measured59.3%Only o3 Pro measured
ARC-AGI-2Not measured4.9%Only o3 Pro measured
Neither model has a result on the other 18 boards here
MathNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Math benchmarks for Moondream 3.1 and o3 Pro
BenchmarkMoondream 3.1o3 ProLeader
Neither model has a result on 13 boards here
KnowledgeNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Knowledge benchmarks for Moondream 3.1 and o3 Pro
BenchmarkMoondream 3.1o3 ProLeader
Neither model has a result on 17 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Moondream 3.1 and o3 Pro
BenchmarkMoondream 3.1o3 ProLeader
Neither model has a result on 9 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
General benchmarks for Moondream 3.1 and o3 Pro
BenchmarkMoondream 3.1o3 ProLeader
DTBenchNot measured86.9%Only o3 Pro measured
LMCANot measured38.5%Only o3 Pro measured
Fiction.LiveBenchNot measured97.2%Only o3 Pro measured
Creative writing (Lech Mazur)Not measured84.4%Only o3 Pro measured
Neither model has a result on the other 42 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Moondream 3.1 and o3 Pro
BenchmarkMoondream 3.1o3 ProLeader
Neither model has a result on 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

Moondream 3.1$0.0015Fits in one request
o3 Pro$0.060Fits in one request

Moondream 3.1 costs less

Repository review

50K input + 3K output tokens

Moondream 3.1$0.022Exceeds the context window
o3 Pro$1.24Fits in one request

Moondream 3.1 costs less

Agent loop

200K input + 10K output tokens

Moondream 3.1$0.085Exceeds the context window
o3 Pro$4.80Exceeds the context window

Moondream 3.1 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 Moondream 3.1 and o3 Pro
SpecificationMoondream 3.1OpenAI o3 Pro
MakerMoondreamOpenAI
WeightsOpen weightsNo public weights listed
ReleasedOctober 15, 2026June 10, 2025
Context window32K200K
Input $/Mtok$0.30$20.00
Output $/Mtok$2.50$80.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Moondream 3.1 better than o3 Pro for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Moondream 3.1 has the edge where output tokens cost 32.0x less.

Which is cheaper, Moondream 3.1 or o3 Pro?

Moondream 3.1 costs $0.30 per million input tokens and $2.50 per million output tokens; o3 Pro costs $20.00 and $80.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Moondream 3.1 or o3 Pro?

o3 Pro, with 200K tokens against 32K.

How many benchmarks is the Moondream 3.1 vs o3 Pro comparison based on?

0 benchmarks have a result for both models as of October 21, 2026. Moondream 3.1's coding index rests on 0 independent benchmarks and o3 Pro's on 0. Where only one model has a result, the page says so instead of naming a winner.

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