Kimi K2.7 Code vs Mistral Large 4

Pick up to 3 models · pricing, context and capabilities · simulate your product cost

Data updated on October 23, 2026· 222 models

MoonshotK2.7 Code

MoonshotAI: Kimi K2.7 Code is a coding-focused model in Moonshot AI's Kimi K2 family, built to complete end-to-end programming tasks reliably over long contexts.

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Reasoning estimated
Speed estimated
▲
Input
Output
Context
262 K tokens
Max output
236 K
Input, $ per 1M tokens
▲$0.671
Output, $ per 1M tokens
▲$3.35
Cache read, $ per 1M
$0.180
Batch (input / output)
—
Tool calling
Yes
Released
06/12/2026
Knowledge cutoff
2025-01
API id
moonshotai/kimi-k2.7-code
MistralLarge 4

Mistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and agentic workloads.

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Reasoning estimated
▲
Speed estimated
Input
Output
Context
▲1 M tokens
Max output
▲262 K
Input, $ per 1M tokens
$1.36
Output, $ per 1M tokens
$4.18
Cache read, $ per 1M
$0.140
Batch (input / output)
—
Tool calling
Yes
Released
▲10/06/2026
Knowledge cutoff
—
API id
mistralai/mistral-large-4-0
Third model (optional)
text image audio video PDF / file reasoning (1 to 5, estimated by family) speed (1 to 4, estimated by family)▲ best value among the selected

Which is the better API choice: Kimi K2.7 Code vs Mistral Large 4?

  • Kimi K2.7 Code: cheapest input (51% less than Mistral Large 4)
  • Kimi K2.7 Code: cheapest output
  • Mistral Large 4: largest context (1 M)
  • Mistral Large 4: the newest (10/06/2026)
  • Mistral Large 4: most reasoning (estimated)
  • Kimi K2.7 Code: the fastest (estimated)

Kimi K2.7 Code costs 51% less on input and 20% less on output than Mistral Large 4 ($0.671 / $3.35 versus $1.36 / $4.18 per million tokens). Mistral Large 4 accepts more context (1 M).

What would your product cost?

Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.

Kimi K2.7 Code
$23.47/mo
Mistral Large 4
$37.12/mo

With Kimi K2.7 Code you save $13.65 a month versus Mistral Large 4 (37% less).

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Paste your prompt: tokens and cost per model

Rough estimate (about 4 characters per token). Nothing is sent to any server.

76tokens approx.287 characters

Cost of sending it 1,000 times (input only)

  1. 1Claude Haiku 5.5 Anthropic$0.008
  2. 2Kimi K2.7 Code Moonshot$0.051
  3. 3Mistral Large 4 Mistral$0.103
  4. 4Claude Sonnet 5.5 Anthropic$0.152
  5. 5Claude Sonnet 5 Anthropic$0.152
  6. 6Claude Opus 5.5 Anthropic$0.304
  7. 7Claude Opus 5 Anthropic$0.380
  8. 8Claude Fable 5.1 Anthropic$0.760

Popular comparisons

Frequently asked questions

Which is the better API choice: Kimi K2.7 Code vs Mistral Large 4?

Kimi K2.7 Code costs 51% less on input and 20% less on output than Mistral Large 4 ($0.671 / $3.35 versus $1.36 / $4.18 per million tokens). Mistral Large 4 accepts more context (1 M).

Which is cheaper: Kimi K2.7 Code and Mistral Large 4?

Kimi K2.7 Code is cheaper: $0.671 per million input tokens and $3.35 per million output tokens, versus $1.36 / $4.18 for Mistral Large 4.

Which has more context: Kimi K2.7 Code and Mistral Large 4?

Mistral Large 4 accepts 1 M tokens of context; Kimi K2.7 Code accepts 262 K.

Which is newer: Kimi K2.7 Code and Mistral Large 4?

Mistral Large 4 was released on 10/06/2026; Kimi K2.7 Code on 06/12/2026.

What would 10,000 requests a month cost with Kimi K2.7 Code and Mistral Large 4?

With 1,500 input and 400 output tokens per request: Kimi K2.7 Code: $23.47; Mistral Large 4: $37.12 a month, at list price.

Where do the prices come from and how often are they updated?

From the public catalogs of OpenRouter, models.dev and LiteLLM, which publish each provider's list prices. They sync once a day and the last update date is shown above the comparison.

What does price per million tokens mean?

It is what the provider charges per million tokens you send (input) or the model generates (output). A token is roughly 4 characters. Output almost always costs more than input.

Sources: OpenRouter, models.dev and LiteLLM. Prices in USD per million tokens, list price, no volume discounts. Prompt tokens are an estimate; each provider's tokenizer may differ.