Nova 2 Lite vs GPT-5 Mini
Benchmark Performance
Available Benchmarks
| Benchmark | Nova 2 Lite | GPT-5 Mini |
|---|---|---|
| Berkeley Function Calling Leaderboardv4-ede5081a24bc · overall_accuracy · leader | 27.1097% of row best · percent · Amazon-Nova-2-Lite-v1:0 (FC) | 27.83100% of row best · percent · GPT-5-mini-2025-08-07 (Prompt) |
| LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · statistical tie | 1,362.5299% of row best · rating · nova-2-lite; 95% CI [1356.44886287, 1368.59662424]; votes 12117; rank 178 | 1,372.94100% of row best · rating · gpt-5-mini-high; 95% CI [1368.36426468, 1377.52117993]; votes 26551; rank 162 |
| Overall ResultCounted from the protocol-matched rows above · 1 tie | 0 benchmark wins | 1 benchmark winOverall lead |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Technical Differences
Side-by-Side Facts
| Field | Nova 2 Lite | GPT-5 Mini |
|---|---|---|
| Developer | Amazon | OpenAI |
| Family | Nova 2 | Gpt 5 |
| Model | Nova 2 Lite | GPT-5 Mini |
| Version | Nova 2 Lite | GPT-5 Mini |
| Lifecycle | active | active |
| Released | 2025-12-02 | 2025-08-07 |
| Knowledge cutoff | 2025-10-01 | 2024-05-31 |
| Input modalities | Text, Image, Video, Document | Text, Image |
| Output modalities | Text | Text |
| Context window | 1,000K | 400K |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Amazon Bedrock (Standard) | Openai (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, prompt-caching, tools, vision | chat, generation, reasoning, structured_outputs, tools |
15 comparable fields · 10 material differences · Pair passes the primary-source comparison gate
Nova 2 Lite Capabilities
GPT-5 Mini Capabilities
Internal Comparison Graph
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|---|---|---|---|
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Primary Evidence
Sources and Freshness
Questions
Nova 2 Lite vs GPT-5 Mini FAQs
Is Nova 2 Lite or GPT-5 Mini better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Nova 2 Lite and GPT-5 Mini, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Nova 2 Lite or GPT-5 Mini?+
Nova 2 Lite is $0.30 and GPT-5 Mini is $0.125 per million tokens, so GPT-5 Mini is cheaper on this metric. Nova 2 Lite is $2.50 and GPT-5 Mini is $1.00 per million tokens, so GPT-5 Mini is cheaper on this metric.
Which has a larger context window, Nova 2 Lite or GPT-5 Mini?+
Nova 2 Lite has the larger sourced context window. Nova 2 Lite supports 1,000K and GPT-5 Mini supports 400K.
Which performs better in benchmarks, Nova 2 Lite or GPT-5 Mini?+
There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.
Can Nova 2 Lite or GPT-5 Mini be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Nova 2 Lite is not marked open weight; GPT-5 Mini is not marked open weight.
Can Nova 2 Lite and GPT-5 Mini understand images?+
Nova 2 Lite is documented with image input; GPT-5 Mini is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Nova 2 Lite or GPT-5 Mini?+
GPT-5 Mini has the larger sourced maximum output: Nova 2 Lite supports 66K and GPT-5 Mini supports 128K output tokens.
Do Nova 2 Lite and GPT-5 Mini support reasoning and tool use?+
Nova 2 Lite: tool calling and image input. GPT-5 Mini: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Nova 2 Lite or GPT-5 Mini?+
Nova 2 Lite has 1 sourced provider route; GPT-5 Mini has 2, so GPT-5 Mini has broader tracked availability.
Which offers better value, Nova 2 Lite or GPT-5 Mini?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.