API cost decision in 10 seconds

Llama 3.1 70B Instruct vs DeepSeek V3.1 Terminus

Pick Llama 3.1 70B Instruct for lower cost; pick DeepSeek V3.1 Terminus only if the larger context window matters more.

Page updated: 2026-05-26T15:08:08Z Data confirmed: 2026-05-26T20:08:05Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Llama 3.1 70B Instruct for lower cost; pick DeepSeek V3.1 Terminus only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Llama 3.1 70B Instruct is estimated at $0.6 vs $0.74 for DeepSeek V3.1 Terminus, saving $0.14 (19.5% lower).

Cost-first pickLlama 3.1 70B Instruct

Context-first pickDeepSeek V3.1 Terminus

Sample savings$0.1419.5%

10x traffic gap$1.45

DeepSeek V3.1 Terminus has more context, but Llama 3.1 70B Instruct saves $0.14 on the standard workload. At 10x that traffic, the same price gap is about $1.45. 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 DeepSeek V3.1 Terminus, balanced workload favors Llama 3.1 70B Instruct, and output-heavy chatbot favors Llama 3.1 70B Instruct.

Workload shape	Token mix	Better pick	Llama 3.1 70B Instruct	DeepSeek V3.1 Terminus
Input-heavy / RAG	5M input + 500K output	DeepSeek V3.1 Terminus	$2.2	$1.83
Balanced workload	1M input + 1M output	Llama 3.1 70B Instruct	$0.8	$1.22
Output-heavy chatbot	1M input + 5M output	Llama 3.1 70B Instruct	$2.4	$5.02

Cheaper input DeepSeek V3.1 Terminus $0.4 vs $0.27 / 1M

DeepSeek V3.1 Terminus is $0.13 cheaper per 1M input tokens (32.5% lower; 1.48x difference).

Cheaper output Llama 3.1 70B Instruct $0.4 vs $0.95 / 1M

Llama 3.1 70B Instruct is $0.55 cheaper per 1M output tokens (57.9% lower; 2.37x difference).

Larger context DeepSeek V3.1 Terminus 131.07K vs 163.84K

DeepSeek V3.1 Terminus has 32.77K more context (1.25x larger).

Sample workload Llama 3.1 70B Instruct $0.6 vs $0.74

Llama 3.1 70B Instruct is $0.14 cheaper on the standard workload (19.5% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Llama 3.1 70B Instruct Calculating… Estimated API cost

DeepSeek V3.1 Terminus 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

DeepSeek V3.1 Terminus has the lower input price; Llama 3.1 70B Instruct has the lower output price; DeepSeek V3.1 Terminus offers the larger context window. For the 1M input plus 500K output sample, Llama 3.1 70B Instruct is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.6 for Llama 3.1 70B Instruct and $0.74 for DeepSeek V3.1 Terminus.

Best Fit

Choose Llama 3.1 70B Instruct when you care most about lower output-token price.

Choose DeepSeek V3.1 Terminus when you care most about lower input-token price, and larger context window.

Decision Notes

On the standard 1M input plus 500K output workload, Llama 3.1 70B Instruct is estimated at $0.6 vs $0.74 for DeepSeek V3.1 Terminus, saving $0.14 (19.5% lower).
Llama 3.1 70B Instruct is $0.14 cheaper on the standard workload (19.5% lower).
DeepSeek V3.1 Terminus is $0.13 cheaper per 1M input tokens (32.5% lower; 1.48x difference).
Llama 3.1 70B Instruct is $0.55 cheaper per 1M output tokens (57.9% lower; 2.37x difference).
DeepSeek V3.1 Terminus has 32.77K more context (1.25x larger).

Head-to-Head Specs

Feature	Llama 3.1 70B Instruct (Meta)	DeepSeek V3.1 Terminus (DeepSeek)
Input Price prompt tokens per 1M	$0.4	$0.27
Completion Price per 1M tokens	$0.4	$0.95
Sample Workload Cost 1M input + 500K output	$0.6	$0.74
Context Window	131.07K	163.84K
Release Date	2024-07-23	2025-09-22
Popularity	#87	#91

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Llama 3.1 70B Instruct	On the standard 1M input plus 500K output workload, Llama 3.1 70B Instruct is estimated at $0.6 vs $0.74 for DeepSeek V3.1 Terminus, saving $0.14 (19.5% lower).
High-volume input processing	DeepSeek V3.1 Terminus	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Llama 3.1 70B Instruct	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	DeepSeek V3.1 Terminus	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

Llama 3.3 70B Instruct (free) can replace Llama 3.1 70B Instruct when lower sample workload cost matters most: $0.
Llama 3.2 3B Instruct (free) can replace Llama 3.1 70B Instruct when lower sample workload cost matters most: $0.
Llama 3.1 8B Instruct can replace Llama 3.1 70B Instruct when lower sample workload cost matters most: $0.04.
Llama 3 8B Instruct can replace Llama 3.1 70B Instruct when lower sample workload cost matters most: $0.06.

Larger context near this budget

Llama 4 Scout offers 10M context with $0.23 sample workload cost.
Owl Alpha offers 1.05M context with $0 sample workload cost.
DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
DeepSeek V4 Pro offers 1.05M context with $0.87 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

Meta catalog

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

Open Meta models

DeepSeek catalog

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

Open DeepSeek models

Llama 3.1 70B Instruct

Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonstrated strong...

DeepSeek V3.1 Terminus

DeepSeek-V3.1 Terminus is an update to [DeepSeek V3.1](/deepseek/deepseek-chat-v3.1) that maintains the model's original capabilities while addressing issues reported by users, including language consistency and agent capabilities, further optimizing the model's...