Qwen3.8 27B vs Llama 4 Maverick 17B 128E Instruct
Model Markets Rankings
Intelligence, Cost, and Efficiency
| Ranking | Qwen3.8-27B | Llama-4-Maverick-17B-128E-Instruct |
|---|---|---|
| IntelligenceHigher is better · MM Intelligence v1.4 | #29 of 4653.3 score · 2/3-source partial | UnrankedNot in the 46-model eligible cohort |
| CostLower is better · Published-token output estimate | #18 of 45$0.086 per LiveBench case | UnrankedNot in the 45-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.1 | #23 of 3850.7 score · 2/3-source intelligence | UnrankedNot in the 38-model eligible cohort |
Ranks come from current available eligible cohorts. Intelligence may use a labeled two-of-three partial core. Green highlights appear only when both models are ranked in the same metric, and the three dimensions are not collapsed into an overall winner.
Benchmark Performance
Available Benchmarks
| Benchmark | Qwen3.8-27B | Llama-4-Maverick-17B-128E-Instruct |
|---|---|---|
| LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader | 1,437.35100% of row best · rating · qwen3.8-27b; 95% CI [1429.71618499, 1444.98971204]; votes 6626; rank 69 | 1,287.1390% of row best · rating · llama-4-maverick-17b-128e-instruct; 95% CI [1282.87677682, 1291.39199009]; votes 39349; rank 243 |
| LMArena Vision Arenavision-2026-08-27-011508720696 · arena_rating · leader | 1,279.32100% of row best · rating · qwen3.8-27b; 95% CI [1267.46655532, 1291.16933290]; votes 2954; rank 28 | 1,141.4789% of row best · rating · llama-4-maverick-17b-128e-instruct; 95% CI [1132.42029588, 1150.51619722]; votes 6936; rank 102 |
| Overall ResultCounted from the protocol-matched rows above | 2 benchmark winsOverall lead | 0 benchmark wins |
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 | Qwen3.8-27B | Llama-4-Maverick-17B-128E-Instruct |
|---|---|---|
| Developer | Qwen | Meta |
| Family | Qwen3 8 27b | Llama 4 Maverick 17b 128e Instruct |
| Model | Qwen3.8-27B | Llama-4-Maverick-17B-128E-Instruct |
| Version | Qwen3.8-27B | Llama-4-Maverick-17B-128E-Instruct |
| Lifecycle | active | active |
| Released | Unknown | 2025-04-05 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 262K | 1,000K |
| Total parameters | 27.8B | 401.6B |
| Active parameters | Unknown | 17B |
| License | apache-2.0 | other |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard) | Openrouter (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, tools |
15 comparable fields · 9 material differences · Pair passes the primary-source comparison gate
Qwen3.8 27B Capabilities
Llama 4 Maverick 17B 128E Instruct Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
Qwen3.8-27BQwen | vs |  GPT-6 AstraOpenAI | cross-developer peersimage, text |
Qwen3.8-27BQwen | vs | Claude Fable 5.1Anthropic | cross-developer peersimage, text |
Qwen3.8-27BQwen | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
Qwen3.8-27BQwen | vs |  DeepSeek-V4-ProDeepSeek | cross-developer peerstext |
Qwen3.8-27BQwen | vs | Grok 4.6xAI | cross-developer peersimage, text |
Qwen3.8-27BQwen | vs | Qwen3.8-MaxQwen | family variantsimage, text |
Qwen3.8-27BQwen | vs |  Kimi-K3Moonshot AI | cross-developer peersimage, text |
 MiniMax-M3MiniMax | vs | Qwen3.8-27BQwen | cross-developer peersimage, text |
Qwen3.8-27BQwen | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Qwen3.8-27BQwen | vs |  Hy4 previewTencent | cross-developer peerstext |
Qwen3.8-27BQwen | vs | Seed 2.1 ProByteDance Seed | cross-developer peersimage, text |
Qwen3.8-27BQwen | vs |  Mistral Large 3Mistral AI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Qwen3.8 27B vs Llama 4 Maverick 17B 128E Instruct FAQs
Is Qwen3.8 27B or Llama 4 Maverick 17B 128E Instruct better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.8 27B 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, Qwen3.8 27B or Llama 4 Maverick 17B 128E Instruct?+
Qwen3.8 27B is $0.40 and Llama 4 Maverick 17B 128E Instruct is $0.20 per million tokens, so Llama 4 Maverick 17B 128E Instruct is cheaper on this metric. Qwen3.8 27B is $3.00 and Llama 4 Maverick 17B 128E Instruct is $0.696 per million tokens, so Llama 4 Maverick 17B 128E Instruct is cheaper on this metric.
Which has a larger context window, Qwen3.8 27B or Llama 4 Maverick 17B 128E Instruct?+
Llama 4 Maverick 17B 128E Instruct has the larger sourced context window. Qwen3.8 27B supports 262K and Llama 4 Maverick 17B 128E Instruct supports 1,000K.
Which performs better in benchmarks, Qwen3.8 27B or Llama 4 Maverick 17B 128E Instruct?+
There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.
Can Qwen3.8 27B or Llama 4 Maverick 17B 128E Instruct be self-hosted?+
Both models have the same recorded self-hosting status: supported. Qwen3.8 27B is open weight; Llama 4 Maverick 17B 128E Instruct is open weight.
Can Qwen3.8 27B and Llama 4 Maverick 17B 128E Instruct understand images?+
Qwen3.8 27B is 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, Qwen3.8 27B or Llama 4 Maverick 17B 128E Instruct?+
Neither has a larger sourced maximum output. Qwen3.8 27B is 131K and Llama 4 Maverick 17B 128E Instruct is —.
Do Qwen3.8 27B and Llama 4 Maverick 17B 128E Instruct support reasoning and tool use?+
Qwen3.8 27B: reasoning, tool calling, and image input. 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, Qwen3.8 27B or Llama 4 Maverick 17B 128E Instruct?+
Qwen3.8 27B has 3 sourced provider routes; Llama 4 Maverick 17B 128E Instruct has 1, so Qwen3.8 27B has broader tracked availability.
Which offers better value, Qwen3.8 27B 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.