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GPT Audio vs Moondream 3.1

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.

Replace GPT Audio Replace Moondream 3.1
GPT AudioOpenAI
Coding
No data
Overall
No data
Output $/M
$10.00
M Moondream 3.1Moondream
Coding
No data
Overall
No data
Output $/M
$2.50
vs $10.00 vs $2.50 per 1M output tokens. Moondream 3.1 is 4.0x cheaper.

Decision reading

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

GPT Audio has the edge where the context window is larger, 128K against 32K tokens.

Model AGPT AudioOpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BMoondream 3.1MoondreamNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
0
GPT Audio only
0
Moondream 3.1 only
0
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
GPT Audio not benchmarked, Moondream 3.1 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
GPT Audio $10.00 against Moondream 3.1 $2.50 per million output tokens, 4.0x apart.
Context window
GPT Audio takes 128K tokens, Moondream 3.1 32K.

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.

CodingNot comparableSix of these boards feed the Vibe Coding Index0 boards, none shared
Coding benchmarks for GPT Audio and Moondream 3.1
BenchmarkGPT AudioMoondream 3.1Leader
Neither model has a result on 38 boards here
IntelligenceNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Intelligence benchmarks for GPT Audio and Moondream 3.1
BenchmarkGPT AudioMoondream 3.1Leader
Neither model has a result on 2 boards here
Agentic workNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Agentic work benchmarks for GPT Audio and Moondream 3.1
BenchmarkGPT AudioMoondream 3.1Leader
Neither model has a result on 39 boards here
ReasoningNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Reasoning benchmarks for GPT Audio and Moondream 3.1
BenchmarkGPT AudioMoondream 3.1Leader
Neither model has a result on 21 boards here
MathNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Math benchmarks for GPT Audio and Moondream 3.1
BenchmarkGPT AudioMoondream 3.1Leader
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 GPT Audio and Moondream 3.1
BenchmarkGPT AudioMoondream 3.1Leader
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 GPT Audio and Moondream 3.1
BenchmarkGPT AudioMoondream 3.1Leader
Neither model has a result on 9 boards here
GeneralNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
General benchmarks for GPT Audio and Moondream 3.1
BenchmarkGPT AudioMoondream 3.1Leader
Neither model has a result on 46 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT Audio and Moondream 3.1
BenchmarkGPT AudioMoondream 3.1Leader
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

GPT Audio$0.0075Fits in one request
Moondream 3.1$0.0015Fits in one request

Moondream 3.1 costs less

Repository review

50K input + 3K output tokens

GPT Audio$0.155Fits in one request
Moondream 3.1$0.022Exceeds the context window

Moondream 3.1 costs less

Agent loop

200K input + 10K output tokens

GPT Audio$0.600Exceeds the context window
Moondream 3.1$0.085Exceeds 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 GPT Audio and Moondream 3.1
SpecificationOpenAI GPT AudioMoondream 3.1
MakerOpenAIMoondream
WeightsNo public weights listedOpen weights
ReleasedJanuary 19, 2026October 15, 2026
Context window128K32K
Input $/Mtok$2.50$0.30
Output $/Mtok$10.00$2.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT Audio better than Moondream 3.1 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. GPT Audio has the edge where the context window is larger, 128K against 32K tokens.

Which is cheaper, GPT Audio or Moondream 3.1?

GPT Audio costs $2.50 per million input tokens and $10.00 per million output tokens; Moondream 3.1 costs $0.30 and $2.50. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT Audio or Moondream 3.1?

GPT Audio, with 128K tokens against 32K.

How many benchmarks is the GPT Audio vs Moondream 3.1 comparison based on?

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

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