Llama 3.1 8B Instruct vs Qwen3.7 Max
At a Glance
| Compare |  Qwen3.7 MaxQwen | |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #13 of 44$0.057 per LiveBench case |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.050Openrouter ↗ · Sep 23, 2026 | $1.475Openrouter ↗ · Sep 23, 2026 |
| Output priceFrom · USD / 1M tokens | $0.080Openrouter ↗ · Sep 23, 2026 | $4.425Openrouter ↗ · Sep 23, 2026 |
| Context windowMaximum documented tokens | 131K | 1,000K |
| Model facts checked | Aug 28, 2026View model evidence → | Sep 3, 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 Max |
|---|---|---|
| ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified | 47.9259% of row best · points · Llama 3.1 8B · 1,165 output tokens / case | 81.26100% of row best · points · Qwen3.7 Max (default) · 8,636 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 | Qwen3.7 Max |
|---|---|---|
| Developer | Meta | Qwen |
| Family | Llama 3 1 8b Instruct | Qwen3 7 |
| Model | Llama-3.1-8B-Instruct | Qwen3.7 Max |
| Version | Llama-3.1-8B-Instruct | Qwen3.7 Max |
| Lifecycle | active | active |
| Released | 2024-07-23 | 2026-05-20 |
| 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, generation, reasoning, structured_outputs, tools, vision |
Llama 3.1 8B Instruct Capabilities
Qwen3.7 Max Capabilities
Related Comparisons
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Claude Fable 5.1Anthropic | vs | cross-developer peerstext | |
 Gemini 3.1 ProGoogle DeepMind | vs | cross-developer peerstext | |
 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 Max FAQs
Is Llama 3.1 8B Instruct or Qwen3.7 Max better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Llama 3.1 8B Instruct and Qwen3.7 Max, 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 Max?+
Llama 3.1 8B Instruct is $0.050 and Qwen3.7 Max is $1.475 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 Max is $4.425 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 Max?+
Qwen3.7 Max has the larger sourced context window. Llama 3.1 8B Instruct supports 131K and Qwen3.7 Max supports 1,000K.
Which performs better in benchmarks, Llama 3.1 8B Instruct or Qwen3.7 Max?+
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 Max 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 Max is not marked open weight.
Can Llama 3.1 8B Instruct and Qwen3.7 Max understand images?+
Llama 3.1 8B Instruct is not documented with image input; Qwen3.7 Max 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 Max?+
Neither has a larger sourced maximum output. Llama 3.1 8B Instruct is — and Qwen3.7 Max is 66K.
Do Llama 3.1 8B Instruct and Qwen3.7 Max support reasoning and tool use?+
Llama 3.1 8B Instruct: tool calling. Qwen3.7 Max: 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 Max?+
Llama 3.1 8B Instruct has 2 sourced provider routes; Qwen3.7 Max has 4, so Qwen3.7 Max has broader tracked availability.
Which offers better value, Llama 3.1 8B Instruct or Qwen3.7 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.