Nova Micro 1.0 vs GPT-4
Updated October 21, 2026. 32 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 428.6x less, and where the context window is larger, 128K against 8K tokens.
- Shared results
- 32
- Nova Micro 1.0 only
- 7
- GPT-4 only
- 13
- 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-4
GPT-4 leads, 6.7 against 5.9.
Same board, both measured
Long documents
Listed context window
Nova Micro 1.0
Nova Micro 1.0 takes 128K tokens against 8K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Nova Micro 1.0
Nova Micro 1.0 $0.0001, GPT-4 $0.060 per turn.
List prices
At a glance
- Coding index
- Nova Micro 1.0 not benchmarked, GPT-4 not benchmarked.
- Widest category
- Knowledge, 7.6 points apart on average over 6 shared benchmarks.
- Widest single gap
- MMLU: Nova Micro 1.0 70.8% against GPT-4 86.4%, 15.6 points apart on a 0 to 100 scale.
- Output price
- Nova Micro 1.0 $0.14 against GPT-4 $60.00 per million output tokens, 428.6x apart.
- Context window
- Nova Micro 1.0 takes 128K tokens, GPT-4 8K.
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-4 | Ties |
|---|---|---|---|---|
| Coding | 2 | 0 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 2 | 2 | ||
| Math | 0 | 2 | ||
| Knowledge | 4 | 2 | ||
| General | 8 | 9 | ||
| All shared boards | 16 | 16 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
| Benchmark | Nova Micro 1.0 | GPT-4 | Leader |
|---|---|---|---|
| SWE-bench Verified | Not measured | 22.4% | Only GPT-4 measured |
| SWE-bench Lite | Not measured | 39.7% | Only GPT-4 measured |
| SWE-bench (full test set) | Not measured | 12.5% | Only GPT-4 measured |
| AA Coding Index | Not measured | 13.1 | Only GPT-4 measured |
| LiveCodeBench (Artificial Analysis run) | 14.0% | Not measured | Only Nova Micro 1.0 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 1.5% | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: coding | 1218 | 1209 | Nova Micro 1.0 |
| LMArena Text: software and IT | 1215 | 1195 | Nova Micro 1.0 |
| Neither model has a result on the other 30 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Nova Micro 1.0 | GPT-4 | Leader |
|---|---|---|---|
| AA Intelligence Index | 5.9 | 6.7 | GPT-4 |
| Epoch Capabilities Index | Not measured | 125.7 | Only GPT-4 measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Nova Micro 1.0 | GPT-4 | 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 index22
| Benchmark | Nova Micro 1.0 | GPT-4 | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 35.8% | 34.9% | Nova Micro 1.0 |
| Humanity's Last Exam (Artificial Analysis run) | 4.6% | Not measured | Only Nova Micro 1.0 measured |
| BIG-Bench Hard | Not measured | 75.1% | Only GPT-4 measured |
| LMArena Text: hard prompts | 1191 | 1200 | GPT-4 |
| LMArena Text: expert | 1183 | 1149 | Nova Micro 1.0 |
| LMArena Text: hard prompts in English | 1203 | 1209 | GPT-4 |
| Neither model has a result on the other 15 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Nova Micro 1.0 | GPT-4 | Leader |
|---|---|---|---|
| AA Math Index | 6.0 | Not measured | Only Nova Micro 1.0 measured |
| AIME 2025 (Artificial Analysis run) | 6.0% | Not measured | Only Nova Micro 1.0 measured |
| GSM8K | Not measured | 92.0% | Only GPT-4 measured |
| LMArena Text: math | 1206 | 1230 | GPT-4 |
| LMArena Text: mathematical work | 1212 | 1228 | GPT-4 |
| Neither model has a result on the other 8 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index42
| Benchmark | Nova Micro 1.0 | GPT-4 | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | 53.1% | 56.2% | GPT-4 |
| MMLU | 70.8% | 86.4% | GPT-4 |
| AI2 Reasoning Challenge | Not measured | 96.3% | Only GPT-4 measured |
| LMArena Text: science | 1210 | 1177 | Nova Micro 1.0 |
| LMArena Text: medicine and healthcare | 1207 | 1145 | Nova Micro 1.0 |
| LMArena Text: legal and government | 1221 | 1191 | Nova Micro 1.0 |
| LMArena Text: business and finance | 1182 | 1145 | Nova Micro 1.0 |
| Neither model has a result on the other 10 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Nova Micro 1.0 | GPT-4 | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index89
| Benchmark | Nova Micro 1.0 | GPT-4 | Leader |
|---|---|---|---|
| IFBench | 29.4% | 33.2% | GPT-4 |
| Long context reasoning (AA-LCR) | 13.0% | Not measured | Only Nova Micro 1.0 measured |
| DTBench | Not measured | 62.7% | Only GPT-4 measured |
| LMCA | Not measured | 17.1% | Only GPT-4 measured |
| HellaSwag | Not measured | 95.3% | Only GPT-4 measured |
| WinoGrande | Not measured | 87.5% | Only GPT-4 measured |
| LMArena Text | 1208 | 1206 | Nova Micro 1.0 |
| LMArena Text: instruction following | 1174 | 1201 | GPT-4 |
| LMArena Text: creative writing | 1172 | 1191 | GPT-4 |
| LMArena Text: English | 1224 | 1220 | Nova Micro 1.0 |
| LMArena Text: non-English | 1186 | 1194 | GPT-4 |
| LMArena Text: Chinese | 1209 | 1184 | Nova Micro 1.0 |
| LMArena Text: German | 1192 | 1198 | GPT-4 |
| LMArena Text: Japanese | 1154 | 1137 | Nova Micro 1.0 |
| LMArena Text: Korean | 1150 | 1087 | Nova Micro 1.0 |
| LMArena Text: French | 1238 | 1220 | Nova Micro 1.0 |
| LMArena Text: Spanish | 1225 | 1197 | Nova Micro 1.0 |
| LMArena Text: Russian | 1185 | 1195 | GPT-4 |
| LMArena Text: Polish | Not measured | 1265 | Only GPT-4 measured |
| LMArena Text: multi-turn | 1178 | 1206 | GPT-4 |
| LMArena Text: longer queries | 1205 | 1190 | Nova Micro 1.0 |
| LMArena Text: writing and language | 1192 | 1219 | GPT-4 |
| LMArena Text: entertainment and media | 1163 | 1184 | GPT-4 |
| Neither model has a result on the other 23 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Nova Micro 1.0 | GPT-4 | 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-4 |
|---|---|---|
| Maker | Amazon | OpenAI |
| Weights | No public weights listed | No public weights listed |
| Released | December 5, 2024 | May 28, 2023 |
| Context window | 128K | 8K |
| Input $/Mtok | $0.035 | $30.00 |
| Output $/Mtok | $0.14 | $60.00 |
| 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-4 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 428.6x less, and where the context window is larger, 128K against 8K tokens.
Which is cheaper, Nova Micro 1.0 or GPT-4?
Nova Micro 1.0 costs $0.035 per million input tokens and $0.14 per million output tokens; GPT-4 costs $30.00 and $60.00. Cost per solved task is known for neither of them.
Which has the bigger context window, Nova Micro 1.0 or GPT-4?
Nova Micro 1.0, with 128K tokens against 8K.
How many benchmarks is the Nova Micro 1.0 vs GPT-4 comparison based on?
32 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-4's on 0. Where only one model has a result, the page says so instead of naming a winner.