API cost decision in 10 seconds

Kimi K2.7 Code (batch) vs Grok 4.3

Pick Grok 4.3 when budget and context both matter.

Page updated: 2026-08-18T20:08:16Z Data confirmed: 2026-08-23T13:07:49Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Grok 4.3 when budget and context both matter.

On the standard 1M input plus 500K output workload, Grok 4.3 is estimated at $2.5 vs $2.95 for Kimi K2.7 Code (batch), saving $0.45 (15.3% lower).

Cost-first pickGrok 4.3

Context-first pickGrok 4.3

Sample savings$0.4515.3%

10x traffic gap$4.5

Grok 4.3 is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $4.5. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors Kimi K2.7 Code (batch), balanced workload favors Grok 4.3, and output-heavy chatbot favors Grok 4.3.

Workload shape	Token mix	Better pick	Kimi K2.7 Code (batch)	Grok 4.3
Input-heavy / RAG	5M input + 500K output	Kimi K2.7 Code (batch)	$6.75	$7.5
Balanced workload	1M input + 1M output	Grok 4.3	$4.95	$3.75
Output-heavy chatbot	1M input + 5M output	Grok 4.3	$20.95	$13.75

Cheaper input Kimi K2.7 Code (batch) $0.95 vs $1.25 / 1M

Kimi K2.7 Code (batch) is $0.3 cheaper per 1M input tokens (24% lower; 1.32x difference).

Cheaper output Grok 4.3 $4 vs $2.5 / 1M

Grok 4.3 is $1.5 cheaper per 1M output tokens (37.5% lower; 1.6x difference).

Larger context Grok 4.3 262.14K vs 1M

Grok 4.3 has 737.86K more context (3.81x larger).

Sample workload Grok 4.3 $2.95 vs $2.5

Grok 4.3 is $0.45 cheaper on the standard workload (15.3% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Kimi K2.7 Code (batch) Calculating… Estimated API cost

Grok 4.3 Calculating… Estimated API cost

Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

Kimi K2.7 Code (batch) has the lower input price; Grok 4.3 has the lower output price; Grok 4.3 offers the larger context window. For the 1M input plus 500K output sample, Grok 4.3 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $2.95 for Kimi K2.7 Code (batch) and $2.5 for Grok 4.3.

Best Fit

Choose Kimi K2.7 Code (batch) when you care most about lower input-token price.

Choose Grok 4.3 when you care most about lower output-token price, and larger context window.

Decision Notes

On the standard 1M input plus 500K output workload, Grok 4.3 is estimated at $2.5 vs $2.95 for Kimi K2.7 Code (batch), saving $0.45 (15.3% lower).
Grok 4.3 is $0.45 cheaper on the standard workload (15.3% lower).
Kimi K2.7 Code (batch) is $0.3 cheaper per 1M input tokens (24% lower; 1.32x difference).
Grok 4.3 is $1.5 cheaper per 1M output tokens (37.5% lower; 1.6x difference).
Grok 4.3 has 737.86K more context (3.81x larger).

Head-to-Head Specs

Feature	Kimi K2.7 Code (batch) (MoonshotAI)	Grok 4.3 (SpaceXAI)
Input Price prompt tokens per 1M	$0.95	$1.25
Completion Price per 1M tokens	$4	$2.5
Sample Workload Cost 1M input + 500K output	$2.95	$2.5
Context Window	262.14K	1M
Release Date	2026-06-12	2026-04-30

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Grok 4.3	On the standard 1M input plus 500K output workload, Grok 4.3 is estimated at $2.5 vs $2.95 for Kimi K2.7 Code (batch), saving $0.45 (15.3% lower).
High-volume input processing	Kimi K2.7 Code (batch)	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Grok 4.3	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Grok 4.3	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

Kimi K2.7 Code (free) can replace Kimi K2.7 Code (batch) when lower sample workload cost matters most: $0.
Kimi K2.6 (free) can replace Kimi K2.7 Code (batch) when lower sample workload cost matters most: $0.
Kimi K2.5 can replace Kimi K2.7 Code (batch) when lower sample workload cost matters most: $1.57.
Kimi K2 0711 can replace Kimi K2.7 Code (batch) when lower sample workload cost matters most: $1.72.

Larger context near this budget

Grok 4.20 Multi-Agent offers 2M context with $2.5 sample workload cost.
Grok 4.20 offers 2M context with $2.5 sample workload cost.
DeepSeek V4 Flash 0731 offers 1.31M context with $0.17 sample workload cost.
DeepSeek V4 Flash Latest offers 1.31M context with $0.11 sample workload cost.

Popular competitors

DeepSeek V4 Flash 0731 · DeepSeek · #1
MiMo-V2.5 · Xiaomi · #2
Hy3 · Tencent · #3
Ox Alpha · stealth · #4

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

Open cheapest models

Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

Open largest context models

Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

Open provider hubs

MoonshotAI catalog

Review all tracked MoonshotAI models before deciding whether this matchup is the right shortlist.

Open MoonshotAI models

SpaceXAI catalog

Check other SpaceXAI models with comparable pricing, context, or release timing.

Open SpaceXAI models

Kimi K2.7 Code (batch)

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. It uses a native multimodal mixture-of-experts...

Grok 4.3

Grok 4.3 is a reasoning model from SpaceXAI. It accepts text and image inputs with text output, and is suited for agentic workflows, instruction-following tasks, and applications requiring high factual...