Kimi K2 Thinking Turbo vs Mixtral 8x22B v0.1
Kimi K2 Thinking Turbo (2025) and Mixtral 8x22B v0.1 (2024) are compact production models from Moonshot AI and MistralAI. Kimi K2 Thinking Turbo ships a 262k-token context window, while Mixtral 8x22B v0.1 ships a 64k-token context window. On pricing, Mixtral 8x22B v0.1 costs $0.65/1M input tokens versus $1.15/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Mixtral 8x22B v0.1 is ~77% cheaper at $0.65/1M; pay for Kimi K2 Thinking Turbo only for long-context analysis.
Decision scorecard
Local evidence first| Signal | Kimi K2 Thinking Turbo | Mixtral 8x22B v0.1 |
|---|---|---|
| Best for | general production evaluation | provider-routed production |
| Decision fit | Long context | Coding and Classification |
| Context window | 262k | 64k |
| Cheapest output | $8/1M tokens | $0.65/1M tokens |
| Provider routes | 1 tracked | 8 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Kimi K2 Thinking Turbo has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Local decision data tags Kimi K2 Thinking Turbo for Long context.
- Mixtral 8x22B v0.1 has the lower cheapest tracked output price at $0.65/1M tokens.
- Mixtral 8x22B v0.1 has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Mixtral 8x22B v0.1 for Coding and Classification.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Kimi K2 Thinking Turbo
$2,920
Cheapest tracked route/tier: Vercel AI Gateway
Mixtral 8x22B v0.1
$683
Cheapest tracked route/tier: DeepInfra
Estimated monthly gap: $2,238. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for Kimi K2 Thinking Turbo and Mixtral 8x22B v0.1; plan for SDK, billing, or endpoint changes.
- Mixtral 8x22B v0.1 is $7.35/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- No overlapping tracked provider route is sourced for Mixtral 8x22B v0.1 and Kimi K2 Thinking Turbo; plan for SDK, billing, or endpoint changes.
- Kimi K2 Thinking Turbo is $7.35/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-11-06 | 2024-04-17 |
| Context window | 262k | 64k |
| Parameters | 1T (32B active) | 8x22B |
| Architecture | - | mixture of experts |
| License | MIT(OSI) | Apache 2.0(OSI) |
| Openness | Open source | Open source |
| Commercial use | Commercial use allowed | Commercial use allowed |
| Knowledge cutoff | - | 2024-01 |
Pricing and availability
| Pricing attribute | Kimi K2 Thinking Turbo | Mixtral 8x22B v0.1 |
|---|---|---|
| Input price | $1.15/1M tokens | $0.65/1M tokens |
| Output price | $8/1M tokens | $0.65/1M tokens |
| Providers |
Capabilities
| Capability | Kimi K2 Thinking Turbo | Mixtral 8x22B v0.1 |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | No | No |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint is close: both models cover the core production surface. That makes context budget, benchmark fit, and provider maturity more important than a simple checklist. If your application depends on one integration detail, verify it against the provider route you plan to use, not just the base model listing.
For cost, Kimi K2 Thinking Turbo lists $1.15/1M input and $8/1M output tokens on the cheapest tracked provider, while Mixtral 8x22B v0.1 lists $0.65/1M input and $0.65/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Mixtral 8x22B v0.1 lower by about $2.56 per million blended tokens. Availability is 1 providers versus 8, so concentration risk also matters.
Choose Kimi K2 Thinking Turbo when long-context analysis and larger context windows are central to the workload. Choose Mixtral 8x22B v0.1 when provider fit, lower input-token cost, and broader provider choice are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency.
FAQ
Which has a larger context window, Kimi K2 Thinking Turbo or Mixtral 8x22B v0.1?
Kimi K2 Thinking Turbo supports 262k tokens, while Mixtral 8x22B v0.1 supports 64k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Kimi K2 Thinking Turbo or Mixtral 8x22B v0.1?
Mixtral 8x22B v0.1 is cheaper on tracked token pricing. Kimi K2 Thinking Turbo costs $1.15/1M input and $8/1M output tokens. Mixtral 8x22B v0.1 costs $0.65/1M input and $0.65/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Kimi K2 Thinking Turbo or Mixtral 8x22B v0.1 open source?
Kimi K2 Thinking Turbo is listed under MIT. Mixtral 8x22B v0.1 is listed under Apache 2.0. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Where can I run Kimi K2 Thinking Turbo and Mixtral 8x22B v0.1?
Kimi K2 Thinking Turbo is available on Vercel AI Gateway. Mixtral 8x22B v0.1 is available on NVIDIA NIM, OctoAI API (Deprecated), Fireworks AI, DeepInfra, and Baseten API. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Kimi K2 Thinking Turbo over Mixtral 8x22B v0.1?
Mixtral 8x22B v0.1 is ~77% cheaper at $0.65/1M; pay for Kimi K2 Thinking Turbo only for long-context analysis. If your workload also depends on long-context analysis, start with Kimi K2 Thinking Turbo; if it depends on provider fit, run the same evaluation with Mixtral 8x22B v0.1.
Continue comparing
Last reviewed: 2026-06-04. Data sourced from public model cards and provider documentation.