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GPT Audio vs Hermes 4 405B

Hermes 4 405B costs 3.3x less per output token than GPT Audio ($3.00 vs $10.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.

GPT AudioOpenAI
Coding
No data
Overall
No data
Output $/M
$10.00
N Hermes 4 405BNous Research
Coding
No data
Overall
No data
Output $/M
$3.00
vs $10.00 vs $3.00 per 1M output tokens. Hermes 4 405B is 3.3x cheaper.

GPT Audio or Hermes 4 405B: 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. GPT Audio has none yet; Hermes 4 405B on AA Intelligence Index and Kagi LLM Benchmark. 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
GPT Audio not benchmarked, Hermes 4 405B 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
GPT Audio $10.00 against Hermes 4 405B $3.00 per million output tokens, 3.3x apart.
Context window
GPT Audio takes 128K tokens, Hermes 4 405B 131K.

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 GPT Audio and Hermes 4 405B
BenchmarkGPT AudioHermes 4 405BLeader
AA Intelligence IndexNot measured7.5Only Hermes 4 405B 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 GPT Audio and Hermes 4 405B
BenchmarkGPT AudioHermes 4 405BLeader
Kagi LLM BenchmarkNot measured55.8%Only Hermes 4 405B 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

GPT Audio$0.0075Fits in one request
Hermes 4 405B$0.0025Fits in one request

Hermes 4 405B costs less

Repository review

50K input + 3K output tokens

GPT Audio$0.155Fits in one request
Hermes 4 405B$0.059Fits in one request

Hermes 4 405B costs less

Agent loop

200K input + 10K output tokens

GPT Audio$0.600Exceeds the context window
Hermes 4 405B$0.230Exceeds the context window

Hermes 4 405B 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 Hermes 4 405B
SpecificationOpenAI GPT AudioNous Hermes 4 405B
MakerOpenAINous Research
WeightsNo public weights listedOpen weights
ReleasedJanuary 19, 2026August 26, 2025
Context window128K131K
Input $/Mtok$2.50$1.00
Output $/Mtok$10.00$3.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT Audio better than Hermes 4 405B 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, GPT Audio or Hermes 4 405B?

GPT Audio costs $2.50 per million input tokens and $10.00 per million output tokens; Hermes 4 405B costs $1.00 and $3.00. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT Audio or Hermes 4 405B?

Hermes 4 405B, with 131K tokens against 128K.

Has any benchmark tested both GPT Audio and Hermes 4 405B?

No benchmark has tested both yet. GPT Audio has none yet; Hermes 4 405B on AA Intelligence Index and Kagi LLM Benchmark. Compare them on price and context instead. Data as of October 22, 2026.

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