API cost decision in 10 seconds

Llama 3.1 70B Instruct vs Qwen3 8B

Pick Qwen3 8B when budget is the priority.

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 Qwen3 8B when budget is the priority.

On the standard 1M input plus 500K output workload, Qwen3 8B is estimated at $0.25 vs $0.6 for Llama 3.1 70B Instruct, saving $0.35 (58.3% lower).

Cost-first pickQwen3 8B

Context-first pickBoth models

Sample savings$0.3558.3%

10x traffic gap$3.5

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $3.5. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Qwen3 8B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	Llama 3.1 70B Instruct	Qwen3 8B
Input-heavy / RAG	5M input + 500K output	Qwen3 8B	$2.2	$0.45
Balanced workload	1M input + 1M output	Qwen3 8B	$0.8	$0.45
Output-heavy chatbot	1M input + 5M output	Qwen3 8B	$2.4	$2.05

Cheaper input Qwen3 8B $0.4 vs $0.05 / 1M

Qwen3 8B is $0.35 cheaper per 1M input tokens (87.5% lower; 8x difference).

Cheaper output Tie $0.4 vs $0.4 / 1M

Both models report the same output price at $0.4 per 1M tokens.

Larger context Tie 131.07K vs 131.07K

Both models report the same context window at 131.07K tokens.

Sample workload Qwen3 8B $0.6 vs $0.25

Qwen3 8B is $0.35 cheaper on the standard workload (58.3% 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

Qwen3 8B 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

Qwen3 8B has the lower input price; both models tie on output price; both models report the same context window. For the 1M input plus 500K output sample, Qwen3 8B 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 $0.25 for Qwen3 8B.

Best Fit

Choose Llama 3.1 70B Instruct when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Choose Qwen3 8B when you care most about lower input-token price.

Decision Notes

On the standard 1M input plus 500K output workload, Qwen3 8B is estimated at $0.25 vs $0.6 for Llama 3.1 70B Instruct, saving $0.35 (58.3% lower).
Qwen3 8B is $0.35 cheaper on the standard workload (58.3% lower).
Qwen3 8B is $0.35 cheaper per 1M input tokens (87.5% lower; 8x difference).
Both models report the same output price at $0.4 per 1M tokens.
Both models report the same context window at 131.07K tokens.

Head-to-Head Specs

Feature	Llama 3.1 70B Instruct (Meta)	Qwen3 8B (Qwen)
Input Price prompt tokens per 1M	$0.4	$0.05
Completion Price per 1M tokens	$0.4	$0.4
Sample Workload Cost 1M input + 500K output	$0.6	$0.25
Context Window	131.07K	131.07K
Release Date	2024-07-23	2025-04-28
Popularity	#87	#102

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Qwen3 8B	On the standard 1M input plus 500K output workload, Qwen3 8B is estimated at $0.25 vs $0.6 for Llama 3.1 70B Instruct, saving $0.35 (58.3% lower).
High-volume input processing	Qwen3 8B	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Tie	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Tie	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.
Gemini 2.5 Flash Lite offers 1.05M context with $0.3 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

Qwen catalog

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

Open Qwen 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...

Qwen3 8B

Qwen3-8B is a dense 8.2B parameter causal language model from the Qwen3 series, designed for both reasoning-heavy tasks and efficient dialogue. It supports seamless switching between "thinking" mode for math,...