AMNova Premier 1.0 Paid vs 
GPT-3.5 Turbo Instruct Paid
Nova Premier 1.0 vs GPT-3.5 Turbo Instruct compared — price per token, context window, multimodality, openness and which to choose. Full 2026 breakdown.
Nova Premier 1.0 — full profile › · GPT-3.5 Turbo Instruct — full profile ›
Prices & specs refreshed from live data · olud.ai
Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.
$12.5 /M outputManaged API (no infra to run)
$2 /M outputManaged API (no infra to run)
Nova Premier 1.0 vs GPT-3.5 Turbo Instruct specs
| Spec | Nova Premier 1.0 | GPT-3.5 Turbo Instruct | Winner |
|---|---|---|---|
| Maker | Amazon | OpenAI | – |
| Type | Proprietary | Proprietary | – |
| Context window | 1M tokens | 4K tokens | AMNova Premier 1.0 |
| Input price | $2.5/M | $1.5/M | |
| Output price | $12.5/M | $2/M | |
| Vision / multimodal | Yes | No | AMNova Premier 1.0 |
| Tool / function calling | Yes | No | AMNova Premier 1.0 |
| Self-hostable | No (API only) | No (API only) | – |
| License | Proprietary | Proprietary | – |
Price gap & when to choose each
GPT-3.5 Turbo Instruct is ~6.3× cheaper than Nova Premier 1.0 on output tokens ($2 vs $12.5 per M tokens).
- You want frontier performance through a managed API
- You need the longer 1M context window
- You value reliability & ecosystem
- You don't want to manage infrastructure
- You want frontier performance through a managed API
- You want the lower output price
- You value reliability & ecosystem
- You don't want to manage infrastructure
Feature comparison
| Capability | Nova Premier 1.0 | GPT-3.5 Turbo Instruct |
|---|---|---|
| Open weights (downloadable) | ✗ | ✗ |
| Self-hostable | ✗ | ✗ |
| Runs fully offline | ✗ | ✗ |
| Vision / multimodal | ✓ | ✗ |
| Tool / function calling | ✓ | ✗ |
| 1M+ context window | ✓ | ✗ |
Benchmarks: Nova Premier 1.0 vs GPT-3.5 Turbo Instruct
Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).
Benchmark data by Artificial Analysis.
How Nova Premier 1.0 and GPT-3.5 Turbo Instruct score
| Criterion | Nova Premier 1.0 | GPT-3.5 Turbo Instruct |
|---|---|---|
| Cost-efficiency | 3.5 | 4.5 |
| Context window | 5.0 | 2.0 |
| Openness | 1.5 | 1.5 |
| Self-hosting | 1.0 | 1.0 |
| Multimodality | 5.0 | 2.0 |
Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.
What each model is
Nova Premier 1.0 Paid
Amazon Nova Premier is the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models.
GPT-3.5 Turbo Instruct Paid
This model is a variant of GPT-3.5 Turbo tuned for instructional prompts and omitting chat-related optimizations. Training data: up to Sep 2021.
Frequently asked questions
Nova Premier 1.0 vs GPT-3.5 Turbo Instruct — which is cheaper?
GPT-3.5 Turbo Instruct is cheaper on output ($2/M vs $12.5/M).
Which has the larger context window?
Nova Premier 1.0 offers the larger context window (1M tokens).
Nova Premier 1.0 vs GPT-3.5 Turbo Instruct — which should I pick in 2026?
Choose GPT-3.5 Turbo Instruct for the lower output price ($2/M vs $12.5/M). Choose Nova Premier 1.0 if you need the larger 1M context window.
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