API cost decision in 10 seconds

GPT-5 Chat vs Kimi K2 0711

Pick Kimi K2 0711 when budget and context both matter.

Page updated: 2026-05-26T15:08:08Z Data confirmed: 2026-05-26T18:08:02Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Kimi K2 0711 when budget and context both matter.

On the standard 1M input plus 500K output workload, Kimi K2 0711 is estimated at $1.72 vs $6.25 for GPT-5 Chat, saving $4.53 (72.5% lower).

Cost-first pickKimi K2 0711

Context-first pickKimi K2 0711

Sample savings$4.5372.5%

10x traffic gap$45.3

Kimi K2 0711 is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $45.3. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Kimi K2 0711 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	GPT-5 Chat	Kimi K2 0711
Input-heavy / RAG	5M input + 500K output	Kimi K2 0711	$11.25	$4
Balanced workload	1M input + 1M output	Kimi K2 0711	$11.25	$2.87
Output-heavy chatbot	1M input + 5M output	Kimi K2 0711	$51.25	$12.07

Cheaper input Kimi K2 0711 $1.25 vs $0.57 / 1M

Kimi K2 0711 is $0.68 cheaper per 1M input tokens (54.4% lower; 2.19x difference).

Cheaper output Kimi K2 0711 $10 vs $2.3 / 1M

Kimi K2 0711 is $7.7 cheaper per 1M output tokens (77% lower; 4.35x difference).

Larger context Kimi K2 0711 128K vs 131.07K

Kimi K2 0711 has 3.07K more context (1.02x larger).

Sample workload Kimi K2 0711 $6.25 vs $1.72

Kimi K2 0711 is $4.53 cheaper on the standard workload (72.5% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

GPT-5 Chat Calculating… Estimated API cost

Kimi K2 0711 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 0711 has the lower input price; Kimi K2 0711 has the lower output price; Kimi K2 0711 offers the larger context window. For the 1M input plus 500K output sample, Kimi K2 0711 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $6.25 for GPT-5 Chat and $1.72 for Kimi K2 0711.

Best Fit

Choose GPT-5 Chat when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Choose Kimi K2 0711 when you care most about lower input-token price, lower output-token price, and larger context window.

Decision Notes

On the standard 1M input plus 500K output workload, Kimi K2 0711 is estimated at $1.72 vs $6.25 for GPT-5 Chat, saving $4.53 (72.5% lower).
Kimi K2 0711 is $4.53 cheaper on the standard workload (72.5% lower).
Kimi K2 0711 is $0.68 cheaper per 1M input tokens (54.4% lower; 2.19x difference).
Kimi K2 0711 is $7.7 cheaper per 1M output tokens (77% lower; 4.35x difference).
Kimi K2 0711 has 3.07K more context (1.02x larger).

Head-to-Head Specs

Feature	GPT-5 Chat (OpenAI)	Kimi K2 0711 (MoonshotAI)
Input Price prompt tokens per 1M	$1.25	$0.57
Completion Price per 1M tokens	$10	$2.3
Sample Workload Cost 1M input + 500K output	$6.25	$1.72
Context Window	128K	131.07K
Release Date	2025-08-07	2025-07-11
Popularity	#111	#140

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Kimi K2 0711	On the standard 1M input plus 500K output workload, Kimi K2 0711 is estimated at $1.72 vs $6.25 for GPT-5 Chat, saving $4.53 (72.5% lower).
High-volume input processing	Kimi K2 0711	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Kimi K2 0711	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Kimi K2 0711	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

gpt-oss-120b (free) can replace GPT-5 Chat when lower sample workload cost matters most: $0.
gpt-oss-20b (free) can replace GPT-5 Chat when lower sample workload cost matters most: $0.
gpt-oss-20b can replace GPT-5 Chat when lower sample workload cost matters most: $0.1.
gpt-oss-120b can replace GPT-5 Chat when lower sample workload cost matters most: $0.13.

Larger context near this budget

Llama 4 Scout offers 10M context with $0.23 sample workload cost.
Grok 4.20 offers 2M context with $2.5 sample workload cost.
Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
Owl Alpha offers 1.05M context with $0 sample workload cost.

Popular competitors

DeepSeek V4 Flash · DeepSeek · #1
Hy3 preview · Tencent · #2
Claude Opus 4.7 · Anthropic · #3
Claude Sonnet 4.6 · Anthropic · #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

OpenAI catalog

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

Open OpenAI models

MoonshotAI catalog

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

Open MoonshotAI models

GPT-5 Chat

GPT-5 Chat is designed for advanced, natural, multimodal, and context-aware conversations for enterprise applications.

Kimi K2 0711

Kimi K2 Instruct is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass. It is optimized for...