Llama 4 Maverick 17B 128E Instruct vs Kimi K2 Thinking
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | Llama-4-Maverick-17B-128E-Instruct | Kimi-K2-Thinking |
|---|---|---|
| Developer | Meta | Moonshot AI |
| Family | Llama 4 Maverick 17b 128e Instruct | Kimi K2 Thinking |
| Model | Llama-4-Maverick-17B-128E-Instruct | Kimi-K2-Thinking |
| Version | Llama-4-Maverick-17B-128E-Instruct | Kimi-K2-Thinking |
| Lifecycle | active | active |
| Released | 2025-04-05 | 2025-11-06 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Text |
| Context window | 1,000K | 262K |
| Total parameters | 401.6B | 1T |
| Active parameters | 17B | 32B |
| License | other | other |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Openrouter (Standard) | Hugging Face (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, tools | chat, generation, reasoning, tools |
17 comparable fields · 11 material differences · Pair passes the primary-source comparison gate
Llama 4 Maverick 17B 128E Instruct Capabilities
Kimi K2 Thinking Capabilities
Internal Comparison Graph
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Primary Evidence
Sources and Freshness
Questions
Llama 4 Maverick 17B 128E Instruct vs Kimi K2 Thinking FAQs
Is Llama 4 Maverick 17B 128E Instruct or Kimi K2 Thinking better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Llama 4 Maverick 17B 128E Instruct and Kimi K2 Thinking, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Llama 4 Maverick 17B 128E Instruct or Kimi K2 Thinking?+
Llama 4 Maverick 17B 128E Instruct is $0.20 and Kimi K2 Thinking is $0.60 per million tokens, so Llama 4 Maverick 17B 128E Instruct is cheaper on this metric. Llama 4 Maverick 17B 128E Instruct is $0.696 and Kimi K2 Thinking is $2.50 per million tokens, so Llama 4 Maverick 17B 128E Instruct is cheaper on this metric.
Which has a larger context window, Llama 4 Maverick 17B 128E Instruct or Kimi K2 Thinking?+
Llama 4 Maverick 17B 128E Instruct has the larger sourced context window. Llama 4 Maverick 17B 128E Instruct supports 1,000K and Kimi K2 Thinking supports 262K.
Which performs better in benchmarks, Llama 4 Maverick 17B 128E Instruct or Kimi K2 Thinking?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Llama 4 Maverick 17B 128E Instruct or Kimi K2 Thinking be self-hosted?+
Both models have the same recorded self-hosting status: supported. Llama 4 Maverick 17B 128E Instruct is open weight; Kimi K2 Thinking is open weight.
Can Llama 4 Maverick 17B 128E Instruct and Kimi K2 Thinking understand images?+
Llama 4 Maverick 17B 128E Instruct is documented with image input; Kimi K2 Thinking is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Llama 4 Maverick 17B 128E Instruct or Kimi K2 Thinking?+
Neither has a larger sourced maximum output. Llama 4 Maverick 17B 128E Instruct is — and Kimi K2 Thinking is 131K.
Do Llama 4 Maverick 17B 128E Instruct and Kimi K2 Thinking support reasoning and tool use?+
Llama 4 Maverick 17B 128E Instruct: tool calling and image input. Kimi K2 Thinking: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Llama 4 Maverick 17B 128E Instruct or Kimi K2 Thinking?+
Llama 4 Maverick 17B 128E Instruct has 1 sourced provider route; Kimi K2 Thinking has 2, so Kimi K2 Thinking has broader tracked availability.
Which offers better value, Llama 4 Maverick 17B 128E Instruct or Kimi K2 Thinking?+
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.