Llama-3.1-8B-Instruct vs Llama-4-Maverick-17B-128E-Instruct
Benchmark Performance
Available Benchmarks
| Benchmark | Llama-3.1-8B-Instruct | Llama-4-Maverick-17B-128E-Instruct |
|---|---|---|
| LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader | 1,186.3792% of row best · rating · llama-3.1-8b-instruct; 95% CI [1182.27083365, 1190.47005605]; votes 49605; rank 309 | 1,287.13100% of row best · rating · llama-4-maverick-17b-128e-instruct; 95% CI [1282.87677682, 1291.39199009]; votes 39349; rank 243 |
| 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 | Llama-3.1-8B-Instruct | Llama-4-Maverick-17B-128E-Instruct |
|---|---|---|
| Developer | Meta | Meta |
| Family | Llama 3 1 8b Instruct | Llama 4 Maverick 17b 128e Instruct |
| Model | Llama-3.1-8B-Instruct | Llama-4-Maverick-17B-128E-Instruct |
| Version | Llama-3.1-8B-Instruct | Llama-4-Maverick-17B-128E-Instruct |
| Lifecycle | active | active |
| Released | 2024-07-23 | 2025-04-05 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image |
| Output modalities | Text | Text |
| Context window | 131,072 | 1,000,000 |
| Total parameters | 8,030,261,248 | 401,583,781,376 |
| Active parameters | Unknown | 17,000,000,000 |
| License | llama3.1 | other |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Hugging Face (Standard), Openrouter (Standard) | Openrouter (Standard) |
| Capabilities | chat, generation, tools | chat, generation, tools |
16 comparable fields · 9 material differences · Pair passes the primary-source comparison gate
Llama-3.1-8B-Instruct Capabilities
Llama-4-Maverick-17B-128E-Instruct Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
| vs |  Hy4 previewTencent | cross-developer peerstext | |
| vs | family variantsimage, text | ||
| vs | family variantsimage, text | ||
| vs | family variantsimage, text | ||
 MiniMax-M3MiniMax | vs | cross-developer peersimage, text | |
| vs |  Mistral-Small-4-119B-2603Mistral AI | cross-developer peersimage, text | |
 DeepSeek-V4-Flash-Vision-ExpDeepSeek | vs | cross-developer peersimage, text | |
Claude Mythos 5.1Anthropic | vs | cross-developer peersimage, text | |
| vs | family variantstext | ||
| vs | family variantstext | ||
Llama-3.1-8BMeta | vs | family variantstext | |
| vs | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Llama-3.1-8B-Instruct vs Llama-4-Maverick-17B-128E-Instruct FAQs
Is Llama-3.1-8B-Instruct or Llama-4-Maverick-17B-128E-Instruct better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Llama-3.1-8B-Instruct and Llama-4-Maverick-17B-128E-Instruct, 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 Llama-4-Maverick-17B-128E-Instruct?+
Llama-3.1-8B-Instruct is $0.050 and Llama-4-Maverick-17B-128E-Instruct is $0.20 per million tokens, so Llama-3.1-8B-Instruct is cheaper on this metric. Llama-3.1-8B-Instruct is $0.080 and Llama-4-Maverick-17B-128E-Instruct is $0.696 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 Llama-4-Maverick-17B-128E-Instruct?+
Llama-4-Maverick-17B-128E-Instruct has the larger sourced context window. Llama-3.1-8B-Instruct supports 131,072 and Llama-4-Maverick-17B-128E-Instruct supports 1,000,000.
Which performs better in benchmarks, Llama-3.1-8B-Instruct or Llama-4-Maverick-17B-128E-Instruct?+
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 Llama-4-Maverick-17B-128E-Instruct be self-hosted?+
Both models have the same recorded self-hosting status: supported. Llama-3.1-8B-Instruct is open weight; Llama-4-Maverick-17B-128E-Instruct is open weight.
Can Llama-3.1-8B-Instruct and Llama-4-Maverick-17B-128E-Instruct understand images?+
Llama-3.1-8B-Instruct is not documented with image input; Llama-4-Maverick-17B-128E-Instruct is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Llama-3.1-8B-Instruct or Llama-4-Maverick-17B-128E-Instruct?+
Neither has a larger sourced maximum output. Llama-3.1-8B-Instruct is — and Llama-4-Maverick-17B-128E-Instruct is —.
Do Llama-3.1-8B-Instruct and Llama-4-Maverick-17B-128E-Instruct support reasoning and tool use?+
Llama-3.1-8B-Instruct: tool calling. Llama-4-Maverick-17B-128E-Instruct: 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 Llama-4-Maverick-17B-128E-Instruct?+
Llama-3.1-8B-Instruct has 2 sourced provider routes; Llama-4-Maverick-17B-128E-Instruct has 1, so Llama-3.1-8B-Instruct has broader tracked availability.
Which offers better value, Llama-3.1-8B-Instruct or Llama-4-Maverick-17B-128E-Instruct?+
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.