Nova Micro 1.0 vs GPT-4o-mini
Updated October 21, 2026. 9 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Neither model has a coding score yet, so the two cannot be ranked on coding.
Nova Micro 1.0 has the edge where output tokens cost 4.3x less, and where what matters is LiveCodeBench (Artificial Analysis run) or AA Intelligence Index, where it leads.
- Shared results
- 9
- Nova Micro 1.0 only
- 30
- GPT-4o-mini only
- 18
- Like-for-like categories
- 6 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.
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-4o-mini
GPT-4o-mini leads, 6.7 against 5.9.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only GPT-4o-mini has a GPQA Diamond result, 44.2%.
Directional only
Math
AIME
No call
Only GPT-4o-mini has a AIME result, 11.5%.
Directional only
Knowledge
MMLU Pro
No call
Only GPT-4o-mini has a MMLU Pro result, 62.7%.
Directional only
Long documents
Listed context window
No call
Both take 128K tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Nova Micro 1.0
Nova Micro 1.0 $0.0001, GPT-4o-mini $0.0004 per turn.
List prices
At a glance
- Coding index
- Nova Micro 1.0 not benchmarked, GPT-4o-mini not benchmarked.
- Widest category
- Knowledge, 11.3 points apart on average over 2 shared benchmarks.
- Widest single gap
- MMLU Pro (Artificial Analysis run): Nova Micro 1.0 53.1% against GPT-4o-mini 64.8%, 11.7 points apart on a 0 to 100 scale.
- Output price
- Nova Micro 1.0 $0.14 against GPT-4o-mini $0.60 per million output tokens, 4.3x apart.
- Context window
- Both take 128K tokens.
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-4o-mini | Ties |
|---|---|---|---|---|
| Coding | 0 | 1 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 1 | 1 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 2 | ||
| General | 0 | 1 | ||
| All shared boards | 1 | 8 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index01
| Benchmark | Nova Micro 1.0 | GPT-4o-mini | Leader |
|---|---|---|---|
| AA Coding Index | Not measured | 11.4 | Only GPT-4o-mini measured |
| LiveCodeBench (Vals AI) | Not measured | 26.4% | Only GPT-4o-mini measured |
| LiveCodeBench (Artificial Analysis run) | 14.0% | 23.4% | GPT-4o-mini |
| Terminal-Bench Hard (Artificial Analysis run) | 1.5% | Not measured | Only Nova Micro 1.0 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 |
| 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-4o-mini | Leader |
|---|---|---|---|
| AA Intelligence Index | 5.9 | 6.7 | GPT-4o-mini |
| Epoch Capabilities Index | Not measured | 126.5 | Only GPT-4o-mini measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Nova Micro 1.0 | GPT-4o-mini | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 14.0% | Not measured | Only Nova Micro 1.0 measured |
| Neither model has a result on the other 38 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Nova Micro 1.0 | GPT-4o-mini | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 44.2% | Only GPT-4o-mini measured |
| MMMU Pro (Vals AI) | Not measured | 56.6% | Only GPT-4o-mini measured |
| GPQA Diamond (Artificial Analysis run) | 35.8% | 42.6% | GPT-4o-mini |
| Humanity's Last Exam (Artificial Analysis run) | 4.6% | 4.2% | Nova Micro 1.0 |
| ARC-AGI-2 | Not measured | 0.0% | Only GPT-4o-mini measured |
| 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 13 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Nova Micro 1.0 | GPT-4o-mini | Leader |
|---|---|---|---|
| AIME | Not measured | 11.5% | Only GPT-4o-mini measured |
| MATH 500 (Vals AI) | Not measured | 72.6% | Only GPT-4o-mini measured |
| MGSM (Vals AI) | Not measured | 86.2% | Only GPT-4o-mini measured |
| AA Math Index | 6.0 | 14.7 | GPT-4o-mini |
| AIME 2025 (Artificial Analysis run) | 6.0% | 14.7% | GPT-4o-mini |
| GSM8K | Not measured | 91.3% | Only GPT-4o-mini measured |
| 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 5 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Nova Micro 1.0 | GPT-4o-mini | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 62.7% | Only GPT-4o-mini measured |
| CorpFin (Vals AI) | Not measured | 45.5% | Only GPT-4o-mini measured |
| TaxEval (Vals AI) | Not measured | 60.5% | Only GPT-4o-mini measured |
| MortgageTax (Vals AI) | Not measured | 54.5% | Only GPT-4o-mini measured |
| MedQA (Vals AI) | Not measured | 72.4% | Only GPT-4o-mini measured |
| MMLU Pro (Artificial Analysis run) | 53.1% | 64.8% | GPT-4o-mini |
| MMLU | 70.8% | 81.8% | GPT-4o-mini |
| 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 6 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Nova Micro 1.0 | GPT-4o-mini | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Nova Micro 1.0 | GPT-4o-mini | Leader |
|---|---|---|---|
| IFBench | 29.4% | 31.0% | GPT-4o-mini |
| Long context reasoning (AA-LCR) | 13.0% | Not measured | Only Nova Micro 1.0 measured |
| DTBench | Not measured | 54.4% | Only GPT-4o-mini measured |
| LMCA | Not measured | 10.4% | Only GPT-4o-mini measured |
| PIQA | Not measured | 88.7% | Only GPT-4o-mini measured |
| 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 25 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Nova Micro 1.0 | GPT-4o-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-4o-mini |
|---|---|---|
| Maker | Amazon | OpenAI |
| Weights | No public weights listed | No public weights listed |
| Released | December 5, 2024 | July 18, 2024 |
| Context window | 128K | 128K |
| Input $/Mtok | $0.035 | $0.15 |
| Output $/Mtok | $0.14 | $0.60 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Nova Micro 1.0 better than GPT-4o-mini for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Nova Micro 1.0 has the edge where output tokens cost 4.3x less, and where what matters is LiveCodeBench (Artificial Analysis run) or AA Intelligence Index, where it leads.
Which is cheaper, Nova Micro 1.0 or GPT-4o-mini?
Nova Micro 1.0 costs $0.035 per million input tokens and $0.14 per million output tokens; GPT-4o-mini costs $0.15 and $0.60. Cost per solved task is known for neither of them.
Which has the bigger context window, Nova Micro 1.0 or GPT-4o-mini?
Neither: both take 128K tokens.
How many benchmarks is the Nova Micro 1.0 vs GPT-4o-mini comparison based on?
9 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-4o-mini's on 0. Where only one model has a result, the page says so instead of naming a winner.