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OpenKey

Claude Sonnet 5 vs Kimi K2.5

AnthropicMoonshot AIboth via one key, provider price + 3%

Claude Sonnet 5 (Anthropic, released 2026-06-30) and Kimi K2.5 (Moonshot AI, 2026-01-27) sit at opposite ends of the cost-vs-capability tradeoff. Sonnet 5 posts an artificial-analysis coding index of 71.5 and a 1M-token context window; Kimi K2.5 is a native multimodal model built for agent-swarm coding workflows at a fraction of the price. Both run on OpenKey through one API key, billed at provider list price plus a flat 3% fee.

Spec vs spec

SpecClaude Sonnet 5Kimi K2.5
Context window1M262K
Max output128K
Input modalitiestext, image, filetext, image
Output modalitiestexttext
ReleasedJun 30, 2026Jan 27, 2026
Reasoningoptionaloptional

Pricing

Per 1M tokens. Provider price plus the flat 3% fee — the sum is what you pay.

openkey.ai

anthropic/claude-sonnet-5

Input · 1M tokens

$2.00 + 3%$2.06

Output · 1M tokens

$10.00 + 3%$10.30

Cache read · 1M tokens

$0.200 + 3%$0.206

Cache write · 1M tokens

$2.50 + 3%$2.58

FEE — FLAT, EVERY MODEL3%

openkey.ai

moonshotai/kimi-k2.5

Input · 1M tokens

$0.375 + 3%$0.386

Output · 1M tokens

$2.02 + 3%$2.09

FEE — FLAT, EVERY MODEL3%

One workload, priced on both

10M input + 2M output tokens at each model's price, flat 3% fee included.

anthropic/claude-sonnet-5

$41.20

$40.00 provider + 3%

moonshotai/kimi-k2.5Cheaper

$8.03

$7.80 provider + 3%

Pricing math on a real workload

Run 10M input tokens and 2M output tokens through each model. Claude Sonnet 5 costs $40.00 for that workload on OpenKey; Kimi K2.5 costs $7.80 — roughly 5.1x cheaper for the same token volume. That gap comes straight from the per-token rates: Sonnet 5 is $2.00/M input and $10.00/M output at the provider level (OpenKey: $2.06/M input, $10.30/M output after the 3% fee — $2.00 x 1.03 = $2.06, $10.00 x 1.03 = $10.30). Kimi K2.5 runs $0.375/M input and $2.025/M output provider-side ($0.38625/M and $2.08575/M on OpenKey). The input price ratio alone is 5.33x. If you're running batch jobs, agent loops, or anything with high token throughput, this difference compounds fast — a week of heavy agent runs on Sonnet 5 can cost what a month of the same runs costs on Kimi K2.5.

Coding and agent performance

Claude Sonnet 5 posts an artificial-analysis coding index of 71.5 and an agentic index of 46.7, with an overall intelligence index of 53.4 — these are model-level scores, not task-specific benchmarks, but they point to strong general coding ability. Kimi K2.5 doesn't have artificial-analysis numbers in this dataset, but it has Design Arena results across 13 categories: it ranks #2 in Godot game dev (elo 1254, 59.5% win rate) and places in the teens for full-stack (rank 14, elo 1182) and web apps (rank 15, elo 1194) agent categories. It's weaker in mobile apps (rank 20) and Android native (rank 17). Sonnet 5 has no Design Arena entries in this data, so the two aren't directly comparable on identical benchmarks — but Sonnet 5's coding index is the stronger signal for general-purpose code generation, while Kimi K2.5's Design Arena spread shows where it actually beats or loses to other models head-to-head.

Context and long-document work

Sonnet 5 supports a 1,000,000-token context window with up to 128,000 tokens of output. Kimi K2.5 caps at 262,144 tokens context with no stated max output limit in this data. That's a 3.81x context advantage for Sonnet 5 — meaningful if you're feeding entire codebases, long transcripts, or multi-document research bundles into a single call. For most agent tasks and single-file coding, Kimi K2.5's 262K window is still generous; the gap only matters once you're pushing past a quarter-million tokens per request.

Modality and tooling differences

Sonnet 5 accepts text, image, and file input and supports selectable reasoning effort (low, medium, high, max, xhigh), plus verbosity and structured outputs — useful if you need to dial reasoning depth per request. Kimi K2.5 accepts text and image (no file input) but exposes a longer list of sampling controls: frequency/presence penalty, logit bias, min_p, top_k, top_logprobs, and seed, alongside reasoning support that's enabled by default. If your pipeline needs fine-grained sampling control or file uploads specifically, that decides the choice before benchmarks even come into play.

When to pick each

Pick Claude Sonnet 5 when the task is complex agentic reasoning, large-context document work, or when coding accuracy matters more than per-token cost. Pick Kimi K2.5 when you're running high-volume coding agents, game dev prototyping, or web app generation at scale and the 5.33x input price gap actually moves your budget. A common pattern: route bulk/cheap tasks to Kimi K2.5, escalate to Sonnet 5 for the subset that needs deeper reasoning or a longer context window.

Which model for which job

Use casePickWhy
High-volume coding agentsKimi K2.55.33x cheaper input tokens and ranks #2 in Godot game dev on Design Arena
Long-document / large-codebase analysisClaude Sonnet 51M-token context vs Kimi K2.5's 262,144 — a 3.81x advantage
Complex multi-step agent workflowsClaude Sonnet 5Agentic index of 46.7 plus selectable reasoning effort up to xhigh
Budget-constrained batch jobsKimi K2.5$7.80 vs $40.00 for a 10M-input/2M-output workload
Full-stack / web app generationKimi K2.5Ranks 14th (full-stack) and 15th (web apps) on Design Arena agent benchmarks at a fraction of the cost
File-based input pipelinesClaude Sonnet 5Supports file input modality; Kimi K2.5 only accepts text and image

Questions

Which model is cheaper for a typical workload?
Kimi K2.5, by a wide margin. A 10M-input/2M-output workload costs $7.80 on Kimi K2.5 versus $40.00 on Claude Sonnet 5 through OpenKey — the input token price ratio alone is 5.33x.
Which model has the bigger context window?
Claude Sonnet 5, with 1,000,000 tokens versus Kimi K2.5's 262,144 tokens — a context ratio of 3.81x. Sonnet 5 also supports up to 128,000 output tokens per response.
Does Kimi K2.5 support file uploads like Sonnet 5?
No. Kimi K2.5 accepts text and image input only, while Claude Sonnet 5 adds file input on top of text and image, per each model's listed input modalities.
Can I use both models with one API setup?
Yes. Both Claude Sonnet 5 and Kimi K2.5 are available on OpenKey through a single API key, billed at the provider's list price plus a flat 3% fee — no separate accounts needed per lab.

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