Nova 2 Lite vs Qwen3.8 Max
Benchmark Performance
Available Benchmarks
| Benchmark | Nova 2 Lite | Qwen3.8-Max |
|---|---|---|
| LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader | 1,362.5292% of row best · rating · nova-2-lite; 95% CI [1356.44886287, 1368.59662424]; votes 12117; rank 178 | 1,479.56100% of row best · rating · qwen3.8-max; 95% CI [1473.34740586, 1485.77213629]; votes 13136; rank 12 |
| Overall ResultCounted from the protocol-matched rows above | 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 | Qwen3.8-Max |
|---|---|---|
| Developer | Amazon | Qwen |
| Family | Nova 2 | Qwen3 8 Max |
| Model | Nova 2 Lite | Qwen3.8-Max |
| Version | Nova 2 Lite | Qwen3.8-Max |
| Lifecycle | active | active |
| Released | 2025-12-02 | Unknown |
| Knowledge cutoff | 2025-10-01 | Unknown |
| Input modalities | Text, Image, Video, Document | Text, Image, Video |
| Output modalities | Text | Text |
| Context window | 1,000K | 1,000K |
| Total parameters | Unknown | 2.4T |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Amazon Bedrock (Standard) | Alibaba Cloud Model Studio (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, prompt-caching, tools, vision | agents, chat, reasoning, structured_outputs, tools, vision |
13 comparable fields · 7 material differences · Pair passes the primary-source comparison gate
Nova 2 Lite Capabilities
Qwen3.8 Max Capabilities
Internal Comparison Graph
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|---|---|---|---|
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Nova 2 LiteAmazon | vs | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Nova 2 Lite vs Qwen3.8 Max FAQs
Is Nova 2 Lite or Qwen3.8 Max better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Nova 2 Lite and Qwen3.8 Max, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Nova 2 Lite or Qwen3.8 Max?+
Nova 2 Lite is $0.30 and Qwen3.8 Max is $1.65 per million tokens, so Nova 2 Lite is cheaper on this metric. Nova 2 Lite is $2.50 and Qwen3.8 Max is $4.951 per million tokens, so Nova 2 Lite is cheaper on this metric.
Which has a larger context window, Nova 2 Lite or Qwen3.8 Max?+
Neither model has a larger sourced context window in this comparison. Nova 2 Lite is 1,000K and Qwen3.8 Max is 1,000K.
Which performs better in benchmarks, Nova 2 Lite or Qwen3.8 Max?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Nova 2 Lite or Qwen3.8 Max be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Nova 2 Lite is not marked open weight; Qwen3.8 Max is not marked open weight.
Can Nova 2 Lite and Qwen3.8 Max understand images?+
Nova 2 Lite is documented with image input; Qwen3.8 Max is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Nova 2 Lite or Qwen3.8 Max?+
Qwen3.8 Max has the larger sourced maximum output: Nova 2 Lite supports 66K and Qwen3.8 Max supports 131K output tokens.
Do Nova 2 Lite and Qwen3.8 Max support reasoning and tool use?+
Nova 2 Lite: tool calling and image input. Qwen3.8 Max: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Nova 2 Lite or Qwen3.8 Max?+
Nova 2 Lite has 1 sourced provider route; Qwen3.8 Max has 4, so Qwen3.8 Max has broader tracked availability.
Which offers better value, Nova 2 Lite or Qwen3.8 Max?+
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.