Model Comparison

DeepSeek R1 Distill Llama 70B vs Kimi K2 Instruct

Kimi K2 Instruct shows notably better performance in the majority of benchmarks. DeepSeek R1 Distill Llama 70B is 2.9x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek R1 Distill Llama 70B outperforms in 1 benchmarks (AIME 2024), while Kimi K2 Instruct is better at 2 benchmarks (GPQA, MATH-500).

Kimi K2 Instruct shows notably better performance in the majority of benchmarks.

Fri May 01 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek R1 Distill Llama 70B costs less

For input processing, DeepSeek R1 Distill Llama 70B ($0.10/1M tokens) is 5.0x cheaper than Kimi K2 Instruct ($0.50/1M tokens).

For output processing, DeepSeek R1 Distill Llama 70B ($0.40/1M tokens) is 1.3x cheaper than Kimi K2 Instruct ($0.50/1M tokens).

In conclusion, Kimi K2 Instruct is more expensive than DeepSeek R1 Distill Llama 70B.*

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

Lowest available price from all providers
Fri May 01 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Llama 70B
Input tokens$0.10
Output tokens$0.40
Best providerDeepinfra
Moonshot AI
Kimi K2 Instruct
Input tokens$0.50
Output tokens$0.50
Best providerFireworks
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

929.4B diff

Kimi K2 Instruct has 929.4B more parameters than DeepSeek R1 Distill Llama 70B, making it 1316.4% larger.

DeepSeek
DeepSeek R1 Distill Llama 70B
70.6Bparameters
Moonshot AI
Kimi K2 Instruct
1000.0Bparameters
70.6B
DeepSeek R1 Distill Llama 70B
1000.0B
Kimi K2 Instruct

Context Window

Maximum input and output token capacity

Kimi K2 Instruct accepts 200,000 input tokens compared to DeepSeek R1 Distill Llama 70B's 128,000 tokens. Kimi K2 Instruct can generate longer responses up to 200,000 tokens, while DeepSeek R1 Distill Llama 70B is limited to 128,000 tokens.

DeepSeek
DeepSeek R1 Distill Llama 70B
Input128,000 tokens
Output128,000 tokens
Moonshot AI
Kimi K2 Instruct
Input200,000 tokens
Output200,000 tokens
Fri May 01 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under MIT.

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

DeepSeek R1 Distill Llama 70B

MIT

Open weights

Kimi K2 Instruct

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 70B was released on 2025-01-20, while Kimi K2 Instruct was released on 2025-07-11.

Kimi K2 Instruct is 6 months newer than DeepSeek R1 Distill Llama 70B.

DeepSeek R1 Distill Llama 70B

Jan 20, 2025

1.3 years ago

Kimi K2 Instruct

Jul 11, 2025

9 months ago

5mo newer

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

DeepSeek R1 Distill Llama 70B is available from DeepInfra. Kimi K2 Instruct is available from Fireworks, Novita.

DeepSeek R1 Distill Llama 70B

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M

Kimi K2 Instruct

fireworks logo
Fireworks
Input Price:Input: $0.50/1MOutput Price:Output: $0.50/1M
novita logo
Novita
Input Price:Input: $0.57/1MOutput Price:Output: $2.30/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Less expensive input tokens
Less expensive output tokens
Higher AIME 2024 score (86.7% vs 69.6%)
Moonshot AI
Larger context window (200,000 tokens)
Higher GPQA score (75.1% vs 65.2%)
Higher MATH-500 score (97.4% vs 94.5%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Llama 70B
Moonshot AI
Kimi K2 Instruct

FAQ

Common questions about DeepSeek R1 Distill Llama 70B vs Kimi K2 Instruct

Kimi K2 Instruct shows notably better performance in the majority of benchmarks. DeepSeek R1 Distill Llama 70B is made by DeepSeek and Kimi K2 Instruct is made by Moonshot AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek R1 Distill Llama 70B scores MATH-500: 94.5%, AIME 2024: 86.7%, GPQA: 65.2%, LiveCodeBench: 57.5%. Kimi K2 Instruct scores MATH-500: 97.4%, GSM8k: 97.3%, CBNSL: 95.6%, HumanEval: 93.3%, MMLU-Redux: 92.7%.
DeepSeek R1 Distill Llama 70B is 5.0x cheaper for input tokens. DeepSeek R1 Distill Llama 70B costs $0.10/M input and $0.40/M output via deepinfra. Kimi K2 Instruct costs $0.50/M input and $0.50/M output via fireworks.
DeepSeek R1 Distill Llama 70B supports 128K tokens and Kimi K2 Instruct supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (128K vs 200K), input pricing ($0.10 vs $0.50/M). See the full comparison above for benchmark-by-benchmark results.
DeepSeek R1 Distill Llama 70B is developed by DeepSeek and Kimi K2 Instruct is developed by Moonshot AI.