Llama 3.1 8B Instruct vs Qwen3.7 Plus
At a Glance
| Compare |  Qwen3.7 PlusQwen | |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.050Openrouter ↗ · Sep 22, 2026 | $0.32Openrouter ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | $0.080Openrouter ↗ · Sep 22, 2026 | $1.28Openrouter ↗ · 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 | Qwen3.7-Plus |
|---|---|---|
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,186.4882% of row best · rating · llama-3.1-8b-instruct; 95% CI [1182.38141125, 1190.58254982]; votes 49605; rank 313 | 1,454.20100% of row best · rating · qwen3.7-plus; 95% CI [1449.75378609, 1458.63820942]; votes 39334; rank 39 |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark winsNo overall winner | 1 benchmark winNo 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 | Qwen3.7-Plus |
|---|---|---|
| Developer | Meta | Qwen |
| Family | Llama 3 1 8b Instruct | Qwen3 7 Plus |
| Model | Llama-3.1-8B-Instruct | Qwen3.7-Plus |
| Version | Llama-3.1-8B-Instruct | Qwen3.7-Plus |
| 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), Fireworks Ai (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
Qwen3.7 Plus Capabilities
Related Comparisons
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Claude Fable 5.1Anthropic | vs | cross-developer peerstext | |
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 DeepSeek-V4.1-FlashDeepSeek | vs | cross-developer peerstext | |
| vs | Grok 4.6xAI | cross-developer peerstext | |
| vs | Qwen3.8-MaxQwen | cross-developer peerstext | |
| vs |  Kimi-K3Moonshot AI | cross-developer peerstext | |
 MiniMax-M3MiniMax | vs | cross-developer peerstext | |
| vs |  GLM-5.3Z.ai | cross-developer peerstext | |
| vs |  Hy4 previewTencent | cross-developer peerstext | |
Seed 2.1 ProByteDance Seed | vs | cross-developer peerstext | |
| vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Llama 3.1 8B Instruct vs Qwen3.7 Plus FAQs
Is Llama 3.1 8B Instruct or Qwen3.7 Plus better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Llama 3.1 8B Instruct and Qwen3.7 Plus, 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 Qwen3.7 Plus?+
Llama 3.1 8B Instruct is $0.050 and Qwen3.7 Plus is $0.32 per million tokens, so Llama 3.1 8B Instruct is cheaper on this metric. Llama 3.1 8B Instruct is $0.080 and Qwen3.7 Plus is $1.28 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 Qwen3.7 Plus?+
Qwen3.7 Plus has the larger sourced context window. Llama 3.1 8B Instruct supports 131K and Qwen3.7 Plus supports 1,000K.
Which performs better in benchmarks, Llama 3.1 8B Instruct or Qwen3.7 Plus?+
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 Qwen3.7 Plus 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; Qwen3.7 Plus is not marked open weight.
Can Llama 3.1 8B Instruct and Qwen3.7 Plus understand images?+
Llama 3.1 8B Instruct is not documented with image input; Qwen3.7 Plus is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Llama 3.1 8B Instruct or Qwen3.7 Plus?+
Neither has a larger sourced maximum output. Llama 3.1 8B Instruct is — and Qwen3.7 Plus is 131K.
Do Llama 3.1 8B Instruct and Qwen3.7 Plus support reasoning and tool use?+
Llama 3.1 8B Instruct: tool calling. Qwen3.7 Plus: 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 Qwen3.7 Plus?+
Llama 3.1 8B Instruct has 2 sourced provider routes; Qwen3.7 Plus has 4, so Qwen3.7 Plus has broader tracked availability.
Which offers better value, Llama 3.1 8B Instruct or Qwen3.7 Plus?+
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.