kimi-k2.6
moonshot · chat model
kimi-k2.6 is listed here as a chat model from moonshot. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$0.9500 / 1M tokens
Output
$4.0000 / 1M tokens
Cached input
$0.1600 / 1M tokens
Context
262.1K
Quick read
Best for
Use this page when you need a fast view of cost, context size, and supported features before testing the model in your own workload.
Things to verify
Always check the provider page for discounts, cache pricing, region rules, and any model limits that may not appear in public metadata.
Pricing
| Item | Price |
|---|---|
| Input | $0.9500 / 1M tokens |
| Output | $4.0000 / 1M tokens |
| Cached input | $0.1600 / 1M tokens |
| Embedding | $0.9500 / 1M tokens |
Token limits
Context window
262.1K
Max input tokens
262.1K
Max output tokens
262.1K
Max tokens
262.1K
Capabilities
| Capability | Supported |
|---|---|
| Vision | ✅ |
| Function calling | ✅ |
| Parallel function calling | — |
| Tool choice | ✅ |
| Prompt caching | — |
| Reasoning | ✅ |
| Response schema | — |
| System messages | — |
| Audio input | — |
| Audio output | — |
| Web search | — |
| PDF input | — |
| Video input | ✅ |
Benchmarks
Most benchmark rows are attached to the base model family rather than this provider route. Open benchmark explorer
| Benchmark | Score | Metric | Scope | Checked | Source |
|---|---|---|---|---|---|
| GPQA Diamond | 90.5 | Score | Base model: Kimi-K2.6 (Kimi-K2.6) | 2026-05-31 | Link |
| SWE-bench Pro | 58.6 | Score | Base model: Kimi-K2.6 (Kimi-K2.6) | 2026-05-31 | Link |
| BrowseComp | 83.2 | score | Base model: Kimi-K2.6 (Kimi-K2.6) | 2026-05-31 | Link |
| Humanity's Last Exam | 54.0 | score | Base model: Kimi-K2.6 (Kimi-K2.6) | 2026-05-31 | Link |
| Terminal-Bench 2.0 | 66.7 | score | Base model: Kimi-K2.6 (Kimi-K2.6) | 2026-05-31 | Link |
| SWE-bench Verified | 80.2 | score | Base model: Kimi-K2.6 (Kimi-K2.6) | 2026-05-31 | Link |
Sources
| Source links | |
| Pricing data | LiteLLM model cost map |
| Synced at | 2026-05-28 |
Similar models
This list is ranked by overall similarity. Use filters to emphasize the lens that matters most for the replacement you are making.
Comparing from
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| kimi-k2.6 moonshot | In $0.9500 / 1M tokens Out $4.0000 / 1M tokens |
Output: unknown | VisionFunction callingTool choiceReasoning | 262.1K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| kimi-k2.5 moonshot | In $0.6000 / 1M tokens Out $3.0000 / 1M tokens |
Output: unknown | VisionFunction callingTool choiceReasoning | 262.1K | Same provider Overall 54% |
| moonshotai.kimi-k2.5 Bedrock | In $0.6000 / 1M tokens Out $3.0300 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choiceReasoning | 262.1K | Partial I/O overlap Overall 50% |
| kimi-k2.5 azure_ai | In $0.6000 / 1M tokens Out $3.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choiceVideo input | 262.1K | Partial I/O overlap Overall 49% |
| kimi-k2.5 OpenRouter | In $0.6000 / 1M tokens Out $3.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choiceVideo input | 262.1K | Partial I/O overlap Overall 49% |
| Kimi-K2.5 Together AI | In $0.5000 / 1M tokens Out $2.8000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choiceReasoning | 256.0K | Partial I/O overlap Overall 47% |
| moonshotai.kimi-k2.5 Bedrock | In $0.7200 / 1M tokens Out $3.6000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 262.1K | Partial I/O overlap Overall 44% |
| kimi-k2-thinking-turbo moonshot | In $1.1500 / 1M tokens Out $8.0000 / 1M tokens |
Output: unknown | Function callingTool choiceReasoning | 262.1K | Same provider Overall 40% |
| kimi-k2-thinking moonshot | In $0.6000 / 1M tokens Out $2.5000 / 1M tokens |
Output: unknown | Function callingTool choiceReasoning | 262.1K | Same provider Overall 40% |
| qwen3.5-397b-a17b OpenRouter | In $0.6000 / 1M tokens Out $3.6000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choiceReasoning | 65.5K | Partial I/O overlap Overall 39% |
| qwen3-vl-235b-a22b-thinking dashscope | In $0.4000 / 1M tokens Out $4.0000 / 1M tokens |
Output: unknown | VisionFunction callingTool choiceReasoning | 32.8K | Partial I/O overlap Overall 37% |
| kimi-k2-turbo-preview moonshot | In $1.1500 / 1M tokens Out $8.0000 / 1M tokens |
Output: unknown | Function callingTool choice | 262.1K | Same provider Overall 36% |
| kimi-k2-0905-preview moonshot | In $0.6000 / 1M tokens Out $2.5000 / 1M tokens |
Output: unknown | Function callingTool choice | 262.1K | Same provider Overall 36% |
| kimi-latest moonshot | In $2.0000 / 1M tokens Out $5.0000 / 1M tokens |
Output: unknown | VisionFunction callingTool choice | 131.1K | Same provider Overall 36% |
| qwen3-coder-480b-a35b-instruct-maas vertex_ai-qwen_models | In $1.0000 / 1M tokens Out $4.0000 / 1M tokens |
Output: unknown | Function callingTool choice | 32.8K | Partial I/O overlap Overall 31% |
| qwen3-vl-32b-thinking dashscope | In $0.1600 / 1M tokens Out $2.8700 / 1M tokens |
Output: unknown | VisionFunction callingTool choiceReasoning | 32.8K | Partial I/O overlap Overall 31% |
| qwen3-vl-235b-a22b-thinking novita | In $0.9800 / 1M tokens Out $3.9500 / 1M tokens | imagetext
Output: text | VisionReasoning | 32.8K | Partial I/O overlap Overall 30% |
| anthropic.claude-mythos-preview Bedrock | In N/A Out N/A | imagetext
Output: text | VisionFunction callingTool choiceReasoning | 128.0K | Partial I/O overlap Overall 27% |
| anthropic.claude-3-5-haiku-20241022-v1:0 Bedrock | In $0.8000 / 1M tokens Out $4.0000 / 1M tokens | imagepdf
Output: text | Function callingTool choice | 8.2K | Partial I/O overlap Overall 25% |
| us.anthropic.claude-3-5-haiku-20241022-v1:0 Bedrock | In $0.8000 / 1M tokens Out $4.0000 / 1M tokens | imagepdf
Output: text | Function callingTool choice | 8.2K | Partial I/O overlap Overall 25% |
| o4-mini replicate | In $1.0000 / 1M tokens Out $4.0000 / 1M tokens | imagetext
Output: text | Reasoning | N/A | Partial I/O overlap Overall 24% |
| anthropic-claude-3.5-haiku gradient_ai | In $0.8000 / 1M tokens Out $4.0000 / 1M tokens |
Output: unknown | Low overlap | 1.0K | Partial I/O overlap Overall 19% |
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