GPT-5.1-Codex vs Hermes 3 405B Instruct
Hermes 3 405B Instruct costs 10.0x less per output token than GPT-5.1-Codex ($1.00 vs $10.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.
- Coding
- 15.3
- Overall
- No data
- Output $/M
- $10.00
- Coding
- No data
- Overall
- No data
- Output $/M
- $1.00
GPT-5.1-Codex or Hermes 3 405B Instruct: which to pick
Only GPT-5.1-Codex has a coding score, 15.3 on the Vibe Coding Index; Hermes 3 405B Instruct has none, so the two cannot be ranked on coding.
Pick Hermes 3 405B Instruct for output tokens 10.0x cheaper ($1.00 vs $10.00 per million).
No benchmark has tested both yet. GPT-5.1-Codex has results on SWE-bench Verified, LMArena WebDev and LiveCodeBench (Vals AI); Hermes 3 405B Instruct 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.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Only GPT-5.1-Codex has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
No call
Only GPT-5.1-Codex has a AA Intelligence Index result, 23.7.
Directional only
Web design
Design Arena: websites
No call
Only GPT-5.1-Codex has a Design Arena: websites result, 1161.
Directional only
Long documents
Listed context window
GPT-5.1-Codex
GPT-5.1-Codex takes 400K tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Hermes 3 405B Instruct
GPT-5.1-Codex $0.0063, Hermes 3 405B Instruct $0.0015 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only GPT-5.1-Codex has the number, $0.892.
Directional only
At a glance
- Coding index
- GPT-5.1-Codex 15.3 from 2 benchmarks, Hermes 3 405B Instruct 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-5.1-Codex $10.00 against Hermes 3 405B Instruct $1.00 per million output tokens, 10.0x apart.
- Context window
- GPT-5.1-Codex takes 400K tokens, Hermes 3 405B Instruct 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.
CodingDirectional onlySix of these boards feed the Vibe Coding Index9 boards measured
| Benchmark | GPT-5.1-Codex | Hermes 3 405B Instruct | Leader |
|---|---|---|---|
| SWE-bench Verified | 66.0% | Not measured | Only GPT-5.1-Codex measured |
| LMArena WebDev | 1337 | Not measured | Only GPT-5.1-Codex measured |
| LiveCodeBench (Vals AI) | 85.5% | Not measured | Only GPT-5.1-Codex measured |
| Vibe Code Bench (Vals AI) | 13.1% | Not measured | Only GPT-5.1-Codex measured |
| LiveCodeBench (Artificial Analysis run) | 84.9% | Not measured | Only GPT-5.1-Codex measured |
| Terminal-Bench Hard (Artificial Analysis run) | 34.8% | Not measured | Only GPT-5.1-Codex measured |
| Terminal-Bench | 57.8% | Not measured | Only GPT-5.1-Codex measured |
| ALE-Bench | 1244.9 | Not measured | Only GPT-5.1-Codex measured |
| LMArena WebDev: HTML | 1346 | Not measured | Only GPT-5.1-Codex measured |
| Neither model has a result on the other 34 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | GPT-5.1-Codex | Hermes 3 405B Instruct | Leader |
|---|---|---|---|
| AA Intelligence Index | 23.7 | Not measured | Only GPT-5.1-Codex measured |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
| Benchmark | GPT-5.1-Codex | Hermes 3 405B Instruct | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | 1018 | Not measured | Only GPT-5.1-Codex measured |
| Design Arena: agents building full-stack apps | 1086 | Not measured | Only GPT-5.1-Codex measured |
| Design Arena: agents building mobile apps | 1191 | Not measured | Only GPT-5.1-Codex measured |
| τ²-Bench Telecom | 83.0% | Not measured | Only GPT-5.1-Codex measured |
| Neither model has a result on the other 38 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | GPT-5.1-Codex | Hermes 3 405B Instruct | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 86.0% | Not measured | Only GPT-5.1-Codex measured |
| Humanity's Last Exam (Artificial Analysis run) | 25.7% | Not measured | Only GPT-5.1-Codex measured |
| Neither model has a result on the other 21 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | GPT-5.1-Codex | Hermes 3 405B Instruct | Leader |
|---|---|---|---|
| AA Math Index | 95.7 | Not measured | Only GPT-5.1-Codex measured |
| AIME 2025 (Artificial Analysis run) | 95.7% | Not measured | Only GPT-5.1-Codex measured |
| Neither model has a result on the other 12 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | GPT-5.1-Codex | Hermes 3 405B Instruct | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | 86.0% | Not measured | Only GPT-5.1-Codex measured |
| Neither model has a result on the other 19 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
| Benchmark | GPT-5.1-Codex | Hermes 3 405B Instruct | Leader |
|---|---|---|---|
| Design Arena: websites | 1161 | Not measured | Only GPT-5.1-Codex measured |
| Design Arena: UI components | 1235 | Not measured | Only GPT-5.1-Codex measured |
| Design Arena: game dev | 1137 | Not measured | Only GPT-5.1-Codex measured |
| Design Arena: data viz | 1213 | Not measured | Only GPT-5.1-Codex measured |
| Design Arena: all code categories | 1152 | Not measured | Only GPT-5.1-Codex measured |
| Neither model has a result on the other 4 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | GPT-5.1-Codex | Hermes 3 405B Instruct | Leader |
|---|---|---|---|
| IFBench | 70.0% | Not measured | Only GPT-5.1-Codex measured |
| Long context reasoning (AA-LCR) | 69.3% | Not measured | Only GPT-5.1-Codex measured |
| Neither model has a result on the other 46 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
Hermes 3 405B Instruct costs less
Repository review
50K input + 3K output tokens
Hermes 3 405B Instruct costs less
Agent loop
200K input + 10K output tokens
Hermes 3 405B Instruct 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.
| Specification | OpenAI GPT-5.1-Codex | Nous Hermes 3 405B Instruct |
|---|---|---|
| Maker | OpenAI | Nous Research |
| Weights | No public weights listed | Open weights |
| Released | November 13, 2025 | August 16, 2024 |
| Context window | 400K | 131K |
| Input $/Mtok | $1.25 | $1.00 |
| Output $/Mtok | $10.00 | $1.00 |
| Coding index | 15.3 | Not benchmarked |
| Independent measurements behind it | 2 | 0 |
| Cost per solved task | $0.892 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-5.1-Codex better than Hermes 3 405B Instruct for coding?
Only GPT-5.1-Codex has a coding score, 15.3 on the Vibe Coding Index; Hermes 3 405B Instruct has none, so the two cannot be ranked on coding. Pick Hermes 3 405B Instruct for output tokens 10.0x cheaper ($1.00 vs $10.00 per million).
Which is cheaper, GPT-5.1-Codex or Hermes 3 405B Instruct?
GPT-5.1-Codex costs $1.25 per million input tokens and $10.00 per million output tokens; Hermes 3 405B Instruct costs $1.00 and $1.00. Cost per solved task is known for GPT-5.1-Codex only.
Which has the bigger context window, GPT-5.1-Codex or Hermes 3 405B Instruct?
GPT-5.1-Codex, with 400K tokens against 131K.
Has any benchmark tested both GPT-5.1-Codex and Hermes 3 405B Instruct?
No benchmark has tested both yet. GPT-5.1-Codex has results on SWE-bench Verified, LMArena WebDev and LiveCodeBench (Vals AI); Hermes 3 405B Instruct has none yet. Compare them on price and context instead. Data as of October 22, 2026.