Llama 3.1 8B Instruct vs Mistral Large 3
At a Glance
| Compare |  Mistral Large 3Mistral AI | |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.050Openrouter ↗ · Sep 22, 2026 | $0.25Openrouter ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | $0.080Openrouter ↗ · Sep 22, 2026 | $0.75Openrouter ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 131K | 262K |
| 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 | Mistral Large 3 |
|---|---|---|
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,186.4883% of row best · rating · llama-3.1-8b-instruct; 95% CI [1182.38141125, 1190.58254982]; votes 49605; rank 313 | 1,427.04100% of row best · rating · mistral-large-3; 95% CI [1424.05319044, 1430.03486299]; votes 69028; rank 91 |
| ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified | 47.9268% of row best · points · Llama 3.1 8B · 1,165 output tokens / case | 70.39100% of row best · points · Mistral Large 3 · 2,056 output tokens / case |
| 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 | Mistral Large 3 |
|---|---|---|
| Developer | Meta | Mistral AI |
| Family | Llama 3 1 8b Instruct | Mistral Large 3 |
| Model | Llama-3.1-8B-Instruct | Mistral Large 3 |
| Version | Llama-3.1-8B-Instruct | Mistral Large 3 |
| Lifecycle | active | active |
| Released | 2024-07-23 | 2025-12-02 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Document |
| Output modalities | Text | Text |
| Context window | 131K | 262K |
| Total parameters | 8B | 675B |
| Active parameters | Unknown | 41B |
| License | llama3.1 | Apache-2.0 |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Hugging Face (Standard), Openrouter (Standard) | Mistral AI (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, tools | agents, chat, generation, structured_outputs, tools, vision |
Llama 3.1 8B Instruct Capabilities
Mistral Large 3 Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
| vs |  GPT-6 AstraOpenAI | cross-developer peerstext | |
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 | family variantstext |
Primary Evidence
Sources and Freshness
Questions
Llama 3.1 8B Instruct vs Mistral Large 3 FAQs
Is Llama 3.1 8B Instruct or Mistral Large 3 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Llama 3.1 8B Instruct and Mistral Large 3, 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 Mistral Large 3?+
Llama 3.1 8B Instruct is $0.050 and Mistral Large 3 is $0.25 per million tokens, so Llama 3.1 8B Instruct is cheaper on this metric. Llama 3.1 8B Instruct is $0.080 and Mistral Large 3 is $0.75 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 Mistral Large 3?+
Mistral Large 3 has the larger sourced context window. Llama 3.1 8B Instruct supports 131K and Mistral Large 3 supports 262K.
Which performs better in benchmarks, Llama 3.1 8B Instruct or Mistral Large 3?+
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 Mistral Large 3 be self-hosted?+
Both models have the same recorded self-hosting status: supported. Llama 3.1 8B Instruct is open weight; Mistral Large 3 is open weight.
Can Llama 3.1 8B Instruct and Mistral Large 3 understand images?+
Llama 3.1 8B Instruct is not documented with image input; Mistral Large 3 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Llama 3.1 8B Instruct or Mistral Large 3?+
Neither has a larger sourced maximum output. Llama 3.1 8B Instruct is — and Mistral Large 3 is —.
Do Llama 3.1 8B Instruct and Mistral Large 3 support reasoning and tool use?+
Llama 3.1 8B Instruct: tool calling. Mistral Large 3: 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 Mistral Large 3?+
Llama 3.1 8B Instruct has 2 sourced provider routes; Mistral Large 3 has 2, a tie.
Which offers better value, Llama 3.1 8B Instruct or Mistral Large 3?+
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.