Llama 3.1 8B Instruct vs Qwen3.8 Flash
At a Glance
| Compare | Qwen3.8 FlashQwen | |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #4 of 44$0.021 per LiveBench case |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.050Openrouter ↗ · Sep 22, 2026 | $0.113Deepinfra ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | $0.080Openrouter ↗ · Sep 22, 2026 | $0.382Deepinfra ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 131K | 1,000K |
| Model facts checked | Aug 28, 2026View model evidence → | Aug 29, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
| Benchmark | Llama-3.1-8B-Instruct | Qwen3.8-Flash |
|---|---|---|
| ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified | 47.9258% of row best · points · Llama 3.1 8B · 1,165 output tokens / case | 83.20100% of row best · points · Qwen3.8 Flash · 24,187 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark winsNo overall winner | 0 benchmark winsNo overall winner |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Side-by-Side Facts
| Field | Llama-3.1-8B-Instruct | Qwen3.8-Flash |
|---|---|---|
| Developer | Meta | Qwen |
| Family | Llama 3 1 8b Instruct | Qwen3 8 Flash |
| Model | Llama-3.1-8B-Instruct | Qwen3.8-Flash |
| Version | Llama-3.1-8B-Instruct | Qwen3.8-Flash |
| Lifecycle | active | active |
| Released | 2024-07-23 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Video |
| Output modalities | Text | Text |
| Context window | 131K | 1,000K |
| Total parameters | 8B | Unknown |
| Active parameters | Unknown | Unknown |
| License | llama3.1 | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Hugging Face (Standard), Openrouter (Standard) | Alibaba Cloud Model Studio (Standard), Deepinfra (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, tools | agents, chat, computer-use, reasoning, structured_outputs, tools, vision |
Llama 3.1 8B Instruct Capabilities
Qwen3.8 Flash Capabilities
Primary Evidence
Sources and Freshness
Questions
Llama 3.1 8B Instruct vs Qwen3.8 Flash FAQs
Is Llama 3.1 8B Instruct or Qwen3.8 Flash better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Llama 3.1 8B Instruct and Qwen3.8 Flash, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Llama 3.1 8B Instruct or Qwen3.8 Flash?+
Llama 3.1 8B Instruct is $0.050 and Qwen3.8 Flash is $0.113 per million tokens, so Llama 3.1 8B Instruct is cheaper on this metric. Llama 3.1 8B Instruct is $0.080 and Qwen3.8 Flash is $0.382 per million tokens, so Llama 3.1 8B Instruct is cheaper on this metric.
Which has a larger context window, Llama 3.1 8B Instruct or Qwen3.8 Flash?+
Qwen3.8 Flash has the larger sourced context window. Llama 3.1 8B Instruct supports 131K and Qwen3.8 Flash supports 1,000K.
Which performs better in benchmarks, Llama 3.1 8B Instruct or Qwen3.8 Flash?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Llama 3.1 8B Instruct or Qwen3.8 Flash be self-hosted?+
Llama 3.1 8B Instruct is the only model in this pair currently marked as self-hostable. Llama 3.1 8B Instruct is open weight; Qwen3.8 Flash is not marked open weight.
Can Llama 3.1 8B Instruct and Qwen3.8 Flash understand images?+
Llama 3.1 8B Instruct is not documented with image input; Qwen3.8 Flash is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Llama 3.1 8B Instruct or Qwen3.8 Flash?+
Neither has a larger sourced maximum output. Llama 3.1 8B Instruct is — and Qwen3.8 Flash is 131K.
Do Llama 3.1 8B Instruct and Qwen3.8 Flash support reasoning and tool use?+
Llama 3.1 8B Instruct: tool calling. Qwen3.8 Flash: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Llama 3.1 8B Instruct or Qwen3.8 Flash?+
Llama 3.1 8B Instruct has 2 sourced provider routes; Qwen3.8 Flash has 4, so Qwen3.8 Flash has broader tracked availability.
Which offers better value, Llama 3.1 8B Instruct or Qwen3.8 Flash?+
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.