Nova Micro 1.0 vs GPT-3.5 Turbo (older v0613)
Nova Micro 1.0 costs 14.3x less per output token than GPT-3.5 Turbo (older v0613) ($0.14 vs $2.00 per million). Updated October 23, 2026; 1 benchmarks have a result for both.
Nova Micro 1.0 or GPT-3.5 Turbo (older v0613): 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 a larger context window (128K against 4K tokens).
- Shared results
- 1
- Nova Micro 1.0 only
- 38
- GPT-3.5 Turbo (older v0613) only
- 2
- Like-for-like categories
- 1 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
No call
Only Nova Micro 1.0 has a AA Intelligence Index result, 5.9.
Directional only
Long documents
Listed context window
Nova Micro 1.0
Nova Micro 1.0 takes 128K tokens against 4K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Nova Micro 1.0
Nova Micro 1.0 $0.0001, GPT-3.5 Turbo (older v0613) $0.0020 per turn.
List prices
At a glance
- Coding index
- Nova Micro 1.0 not benchmarked, GPT-3.5 Turbo (older v0613) not benchmarked.
- Widest category
- Knowledge, 1.9 points apart on average over 1 shared benchmark.
- Widest single gap
- MMLU: Nova Micro 1.0 70.8% against GPT-3.5 Turbo (older v0613) 68.9%, 1.9 points apart on a 0 to 100 scale.
- Output price
- Nova Micro 1.0 $0.14 against GPT-3.5 Turbo (older v0613) $2.00 per million output tokens, 14.3x apart.
- Context window
- Nova Micro 1.0 takes 128K tokens, GPT-3.5 Turbo (older v0613) 4K.
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-3.5 Turbo (older v0613) | Ties |
|---|---|---|---|---|
| Knowledge | 1 | 0 | ||
| All shared boards | 1 | 0 |
CodingDirectional onlySix of these boards feed the Vibe Coding Index4 boards, none shared
| Benchmark | Nova Micro 1.0 | GPT-3.5 Turbo (older v0613) | Leader |
|---|---|---|---|
| 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 | 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 39 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Nova Micro 1.0 | GPT-3.5 Turbo (older v0613) | Leader |
|---|---|---|---|
| AA Intelligence Index | 5.9 | Not measured | Only Nova Micro 1.0 measured |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Nova Micro 1.0 | GPT-3.5 Turbo (older v0613) | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 14.0% | Not measured | Only Nova Micro 1.0 measured |
| Neither model has a result on the other 41 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | Nova Micro 1.0 | GPT-3.5 Turbo (older v0613) | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 35.8% | Not measured | Only Nova Micro 1.0 measured |
| Humanity's Last Exam (Artificial Analysis run) | 4.6% | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: hard prompts | 1191 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: expert | 1184 | 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 18 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | Nova Micro 1.0 | GPT-3.5 Turbo (older v0613) | 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 | 46.9% | Only GPT-3.5 Turbo (older v0613) 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 9 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Nova Micro 1.0 | GPT-3.5 Turbo (older v0613) | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | 53.1% | Not measured | Only Nova Micro 1.0 measured |
| MMLU | 70.8% | 68.9% | Nova Micro 1.0 |
| 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 14 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Nova Micro 1.0 | GPT-3.5 Turbo (older v0613) | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index19 boards, none shared
| Benchmark | Nova Micro 1.0 | GPT-3.5 Turbo (older v0613) | Leader |
|---|---|---|---|
| IFBench | 29.4% | Not measured | Only Nova Micro 1.0 measured |
| Long context reasoning (AA-LCR) | 13.0% | Not measured | Only Nova Micro 1.0 measured |
| WinoGrande | Not measured | 81.6% | Only GPT-3.5 Turbo (older v0613) 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 29 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Nova Micro 1.0 | GPT-3.5 Turbo (older v0613) | 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-3.5 Turbo (older v0613) |
|---|---|---|
| Maker | Amazon | OpenAI |
| Weights | No public weights listed | No public weights listed |
| Released | December 5, 2024 | January 25, 2024 |
| Context window | 128K | 4K |
| Input $/Mtok | $0.035 | $1.00 |
| Output $/Mtok | $0.14 | $2.00 |
| 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-3.5 Turbo (older v0613) 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 a larger context window (128K against 4K tokens).
Which is cheaper, Nova Micro 1.0 or GPT-3.5 Turbo (older v0613)?
Nova Micro 1.0 costs $0.035 per million input tokens and $0.14 per million output tokens; GPT-3.5 Turbo (older v0613) costs $1.00 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-3.5 Turbo (older v0613)?
Nova Micro 1.0, with 128K tokens against 4K.
How many benchmarks is the Nova Micro 1.0 vs GPT-3.5 Turbo (older v0613) comparison based on?
1 benchmarks have a result for both models as of October 23, 2026. Nova Micro 1.0's coding index rests on 0 independent benchmarks and GPT-3.5 Turbo (older v0613)'s on 0. Where only one model has a result, the page says so instead of naming a winner.