Model Comparison

Kimi K2.7 Code vs Kimi K2.6Which is better in 2026?

Both models are evenly matched across the benchmarks. Kimi K2.7 Code is 1.0x cheaper per token.

Verdict: Kimi K2.7 Code vs Kimi K2.6 — which is better?

Kimi K2.7 Code (by Moonshot AI) and Kimi K2.6 (by Moonshot AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Kimi K2.7 Code outperforms in 1 benchmarks (MCP-Mark), while Kimi K2.6 is better at 1 benchmark (LiveBench). Both models are evenly matched across the benchmarks.

Choose Kimi K2.7 Code if…

you want the most recent training data — it shipped Jun 2026

Choose Kimi K2.6 if…

you want predictable pricing at $0.75/M input and $3.50/M output

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Kimi K2.7 Code outperforms in 1 benchmarks (MCP-Mark), while Kimi K2.6 is better at 1 benchmark (LiveBench).

Both models are evenly matched across the benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Kimi K2.7 Code costs less

For input processing, Kimi K2.7 Code ($0.74/1M tokens) is 1.0x cheaper than Kimi K2.6 ($0.75/1M tokens).

For output processing, Kimi K2.7 Code ($3.50/1M tokens) costs the same as Kimi K2.6 ($3.50/1M tokens).

In conclusion, Kimi K2.6 is more expensive than Kimi K2.7 Code.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers

Fri Jul 17 2026 • llm-stats.com

Kimi K2.7 Code

Input tokens$0.74

Output tokens$3.50

Best providerDeepinfra

Kimi K2.6

Input tokens$0.75

Output tokens$3.50

Best providerDeepinfra

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

0.0M diff

Kimi K2.6 has 0.0B more parameters than Kimi K2.7 Code, making it 0.0% larger.

Kimi K2.7 Code

1.0Tparameters

Kimi K2.6

1.0Tparameters

1000.0B

Kimi K2.7 Code

1000.0B

Kimi K2.6

Context Window

Maximum input and output token capacity

Both models have the same input context window of 262,144 tokens. Both models can generate responses up to 131,072 tokens.

Kimi K2.7 Code

Input262,144 tokens

Output131,072 tokens

Kimi K2.6

Input262,144 tokens

Output131,072 tokens

Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Kimi K2.7 Code and Kimi K2.6 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Kimi K2.7 Code

Text

Images

Audio

Video

Kimi K2.6

Text

Images

Audio

Video

License

Usage and distribution terms

Both models are licensed under Modified MIT License.

Both models share the same licensing terms, providing consistent usage rights.

Kimi K2.7 Code

Modified MIT License

Open weights

Kimi K2.6

Modified MIT License

Open weights

Release Timeline

When each model was launched

Kimi K2.7 Code was released on 2026-06-12, while Kimi K2.6 was released on 2026-04-20.

Kimi K2.7 Code is 2 months newer than Kimi K2.6.

Kimi K2.7 Code

Jun 12, 2026

1 months ago

1mo newer

Kimi K2.6

Apr 20, 2026

2 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Kimi K2.7 Code is available from DeepInfra, Fireworks, Moonshot AI, Novita, Together. Kimi K2.6 is available from DeepInfra, Fireworks, Moonshot AI, Novita, Together.

Kimi K2.7 Code

Deepinfra

Input Price:Input: $0.74/1MOutput Price:Output: $3.50/1M