Qwen3.8 2.4T A95B vs Kimi K2 Instruct

At a Glance

Compare
Kimi K2 InstructMoonshot AI
Pricing and Limits
Input priceFrom · USD / 1M tokens$2.00Deepinfra ↗ · Oct 5, 2026$0.57Openrouter ↗ · Aug 29, 2026
Output priceFrom · USD / 1M tokens$6.00Deepinfra ↗ · Oct 5, 2026$2.30Openrouter ↗ · Aug 29, 2026
Context windowMaximum documented tokens262K131K
Model facts checkedAug 28, 2026View model evidence →Aug 28, 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

All benchmark results →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldQwen3.8-2.4T-A95BKimi-K2-Instruct
DeveloperQwenMoonshot AI
FamilyQwen3 8 2 4t A95bKimi K2 Instruct
ModelQwen3.8-2.4T-A95BKimi-K2-Instruct
VersionQwen3.8-2.4T-A95BKimi-K2-Instruct
Lifecycleactiveactive
ReleasedUnknown2025-07-11
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextText
Context window262K131K
Total parameters2.45T1.03T
Active parameters95B32B
Licenseotherother
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessDeepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)Hugging Face (Standard), Openrouter (Standard)
Capabilitieschat, generation, reasoning, toolschat, generation, tools

Qwen3.8 2.4T A95B Capabilities

chatgenerationreasoningtools
Serving providers5
Canonical IDQwen/Qwen3.8-2.4T-A95B

Kimi K2 Instruct Capabilities

chatgenerationtools
Serving providers2
Canonical IDmoonshotai/Kimi-K2-Instruct

Primary Evidence

Sources and Freshness

Questions

Qwen3.8 2.4T A95B vs Kimi K2 Instruct FAQs

Is Qwen3.8 2.4T A95B or Kimi K2 Instruct better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.8 2.4T A95B and Kimi K2 Instruct, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Qwen3.8 2.4T A95B or Kimi K2 Instruct?+

Qwen3.8 2.4T A95B is $2.00 and Kimi K2 Instruct is $0.57 per million tokens, so Kimi K2 Instruct is cheaper on this metric. Qwen3.8 2.4T A95B is $6.00 and Kimi K2 Instruct is $2.30 per million tokens, so Kimi K2 Instruct is cheaper on this metric.

Which has a larger context window, Qwen3.8 2.4T A95B or Kimi K2 Instruct?+

Qwen3.8 2.4T A95B has the larger sourced context window. Qwen3.8 2.4T A95B supports 262,144 tokens and Kimi K2 Instruct supports 131,072 tokens.

Which performs better in benchmarks, Qwen3.8 2.4T A95B or Kimi K2 Instruct?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can Qwen3.8 2.4T A95B or Kimi K2 Instruct be self-hosted?+

Both models have the same sourced self-hosting status: supported. Qwen3.8 2.4T A95B is open weight; Kimi K2 Instruct is open weight.

Can Qwen3.8 2.4T A95B and Kimi K2 Instruct understand images?+

Qwen3.8 2.4T A95B is not documented with image input; Kimi K2 Instruct is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Qwen3.8 2.4T A95B or Kimi K2 Instruct?+

Neither model has a sourced maximum output in this comparison, so a larger limit cannot be determined.

Do Qwen3.8 2.4T A95B and Kimi K2 Instruct support reasoning and tool use?+

Qwen3.8 2.4T A95B: reasoning and tool calling. Kimi K2 Instruct: tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, Qwen3.8 2.4T A95B or Kimi K2 Instruct?+

Qwen3.8 2.4T A95B has 5 sourced provider routes; Kimi K2 Instruct has 2, so Qwen3.8 2.4T A95B has broader tracked availability.

Which offers better value, Qwen3.8 2.4T A95B or Kimi K2 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.

Send Feedback