Nova Micro 1.0 vs GPT-5.1-Codex-Mini
GPT-5.1-Codex-Mini leads Nova Micro 1.0 on the Artificial Analysis Intelligence Index, 20.4 to 5.9, and Nova Micro 1.0 costs 14.3x less per output token ($0.14 vs $2.00 per million). Updated October 21, 2026; 11 benchmarks have a result for both.
Nova Micro 1.0 or GPT-5.1-Codex-Mini: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Nova Micro 1.0 for output tokens 14.3x cheaper ($0.14 vs $2.00 per million) and work measured by LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.
- Shared results
- 11
- Nova Micro 1.0 only
- 28
- GPT-5.1-Codex-Mini only
- 11
- Like-for-like categories
- 7 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
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
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
GPT-5.1-Codex-Mini
GPT-5.1-Codex-Mini leads, 20.4 against 5.9.
Same board, both measured
Web design
Design Arena: websites
No call
Only GPT-5.1-Codex-Mini has a Design Arena: websites result, 1111.
Directional only
Long documents
Listed context window
GPT-5.1-Codex-Mini
GPT-5.1-Codex-Mini takes 400K tokens against 128K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Nova Micro 1.0
Nova Micro 1.0 $0.0001, GPT-5.1-Codex-Mini $0.0013 per turn.
List prices
At a glance
- Coding index
- Nova Micro 1.0 not benchmarked, GPT-5.1-Codex-Mini not benchmarked.
- Widest category
- Math, 85.7 points apart on average over 2 shared benchmarks.
- Widest single gap
- AA Math Index: Nova Micro 1.0 6.0 against GPT-5.1-Codex-Mini 91.7, 85.7 points apart on a 0 to 100 scale.
- Output price
- Nova Micro 1.0 $0.14 against GPT-5.1-Codex-Mini $2.00 per million output tokens, 14.3x apart.
- Context window
- Nova Micro 1.0 takes 128K tokens, GPT-5.1-Codex-Mini 400K.
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.
| Category | Nova Micro 1.0 | Bars | GPT-5.1-Codex-Mini | Ties |
|---|---|---|---|---|
| Coding | 0 | 2 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 0 | 2 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 1 | ||
| General | 0 | 2 | ||
| All shared boards | 0 | 11 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
| Benchmark | Nova Micro 1.0 | GPT-5.1-Codex-Mini | Leader |
|---|---|---|---|
| LMArena WebDev | Not measured | 1244 | Only GPT-5.1-Codex-Mini measured |
| LiveCodeBench (Artificial Analysis run) | 14.0% | 83.6% | GPT-5.1-Codex-Mini |
| Terminal-Bench Hard (Artificial Analysis run) | 1.5% | 33.3% | GPT-5.1-Codex-Mini |
| Terminal-Bench | Not measured | 61.6% | Only GPT-5.1-Codex-Mini measured |
| LMArena Text: coding | 1218 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: software and IT | 1215 | Not measured | Only Nova Micro 1.0 measured |
| LMArena WebDev: HTML | Not measured | 1253 | Only GPT-5.1-Codex-Mini measured |
| Neither model has a result on the other 32 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Nova Micro 1.0 | GPT-5.1-Codex-Mini | Leader |
|---|---|---|---|
| AA Intelligence Index | 5.9 | 20.4 | GPT-5.1-Codex-Mini |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Nova Micro 1.0 | GPT-5.1-Codex-Mini | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 14.0% | 62.9% | GPT-5.1-Codex-Mini |
| Neither model has a result on the other 40 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Nova Micro 1.0 | GPT-5.1-Codex-Mini | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 35.8% | 81.3% | GPT-5.1-Codex-Mini |
| Humanity's Last Exam (Artificial Analysis run) | 4.6% | 18.5% | GPT-5.1-Codex-Mini |
| LMArena Text: hard prompts | 1191 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: expert | 1183 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: hard prompts in English | 1203 | Not measured | Only Nova Micro 1.0 measured |
| Neither model has a result on the other 17 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Nova Micro 1.0 | GPT-5.1-Codex-Mini | Leader |
|---|---|---|---|
| AA Math Index | 6.0 | 91.7 | GPT-5.1-Codex-Mini |
| AIME 2025 (Artificial Analysis run) | 6.0% | 91.7% | GPT-5.1-Codex-Mini |
| LMArena Text: math | 1206 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: mathematical work | 1212 | Not measured | Only Nova Micro 1.0 measured |
| Neither model has a result on the other 9 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Nova Micro 1.0 | GPT-5.1-Codex-Mini | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | 53.1% | 82.0% | GPT-5.1-Codex-Mini |
| MMLU | 70.8% | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: science | 1210 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: medicine and healthcare | 1207 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: legal and government | 1221 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: business and finance | 1182 | Not measured | Only Nova Micro 1.0 measured |
| Neither model has a result on the other 12 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Nova Micro 1.0 | GPT-5.1-Codex-Mini | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1111 | Only GPT-5.1-Codex-Mini measured |
| Design Arena: UI components | Not measured | 1081 | Only GPT-5.1-Codex-Mini measured |
| Design Arena: game dev | Not measured | 1092 | Only GPT-5.1-Codex-Mini measured |
| Design Arena: data viz | Not measured | 1097 | Only GPT-5.1-Codex-Mini measured |
| Design Arena: 3D | Not measured | 988 | Only GPT-5.1-Codex-Mini measured |
| Design Arena: all code categories | Not measured | 1094 | Only GPT-5.1-Codex-Mini measured |
| Design Arena: SVG | Not measured | 978 | Only GPT-5.1-Codex-Mini measured |
| Design Arena: ASCII art | Not measured | 1105 | Only GPT-5.1-Codex-Mini measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Nova Micro 1.0 | GPT-5.1-Codex-Mini | Leader |
|---|---|---|---|
| IFBench | 29.4% | 67.9% | GPT-5.1-Codex-Mini |
| Long context reasoning (AA-LCR) | 13.0% | 66.7% | GPT-5.1-Codex-Mini |
| LMArena Text | 1208 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: instruction following | 1174 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: creative writing | 1172 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: English | 1224 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: non-English | 1186 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: Chinese | 1209 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: German | 1192 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: Japanese | 1154 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: Korean | 1150 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: French | 1238 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: Spanish | 1225 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: Russian | 1185 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: multi-turn | 1178 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: longer queries | 1205 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: writing and language | 1192 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: entertainment and media | 1163 | Not measured | Only Nova Micro 1.0 measured |
| Neither model has a result on the other 28 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Nova Micro 1.0 | GPT-5.1-Codex-Mini | Leader |
|---|---|---|---|
| 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
Nova Micro 1.0 costs less
Repository review
50K input + 3K output tokens
Nova Micro 1.0 costs less
Agent loop
200K input + 10K output tokens
Nova Micro 1.0 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 | Amazon Nova Micro 1.0 | OpenAI GPT-5.1-Codex-Mini |
|---|---|---|
| Maker | Amazon | OpenAI |
| Weights | No public weights listed | No public weights listed |
| Released | December 5, 2024 | November 13, 2025 |
| Context window | 128K | 400K |
| Input $/Mtok | $0.035 | $0.25 |
| Output $/Mtok | $0.14 | $2.00 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Nova Micro 1.0 better than GPT-5.1-Codex-Mini for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Nova Micro 1.0 for output tokens 14.3x cheaper ($0.14 vs $2.00 per million) and work measured by LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.
Which is cheaper, Nova Micro 1.0 or GPT-5.1-Codex-Mini?
Nova Micro 1.0 costs $0.035 per million input tokens and $0.14 per million output tokens; GPT-5.1-Codex-Mini costs $0.25 and $2.00. Cost per solved task is known for neither of them.
Which has the bigger context window, Nova Micro 1.0 or GPT-5.1-Codex-Mini?
GPT-5.1-Codex-Mini, with 400K tokens against 128K.
How many benchmarks is the Nova Micro 1.0 vs GPT-5.1-Codex-Mini comparison based on?
11 benchmarks have a result for both models as of October 21, 2026. Nova Micro 1.0's coding index rests on 0 independent benchmarks and GPT-5.1-Codex-Mini's on 1. Where only one model has a result, the page says so instead of naming a winner.