Llama-3.1-70B-Instruct vs Mixtral 8x7B Instruct v0.1
Llama-3.1-70B-Instruct comes out ahead, 43 to 34 on our weighted score, though Mixtral 8x7B Instruct v0.1 is 34% cheaper per token.
- Our pick
MetaLlama-3.1-70B-Instruct
43/100- ECI125.9
- Price$0.72 / $0.72
- Context128K
Mistral AIMixtral 8x7B Instruct v0.1
34/100- ECI118.4
- Price$0.444 / $0.579
- Context33K
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Llama-3.1-70B-Instruct is our pick
Llama-3.1-70B-Instruct is the better all-round choice, scoring 43/100 against Mixtral 8x7B Instruct v0.1 (34). It leads on capability, inputs & features and context window. Mixtral 8x7B Instruct v0.1 wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityLlama-3.1-70B-InstructCapabilities Index (ECI): Llama-3.1-70B-Instruct 125.9 · Mixtral 8x7B Instruct v0.1 118.4
- Lowest priceMixtral 8x7B Instruct v0.1Mixtral 8x7B Instruct v0.1 $0.478 · Llama-3.1-70B-Instruct $0.72 per 1M tokens (3:1 blend)
- Longest contextLlama-3.1-70B-InstructLlama-3.1-70B-Instruct 128,000 · Mixtral 8x7B Instruct v0.1 32,768 tokens
- Widest inputsSame inputsLlama-3.1-70B-Instruct: Text · Mixtral 8x7B Instruct v0.1: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Llama-3.1-70B-Instruct | Mixtral 8x7B Instruct v0.1 |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 47 | 38 |
| Price | 25% | 54 | 62 |
| Inputs & features | 15% | 25 | 0 |
| Context window | 10% | 24 | 0 |
| Overall | 100% | 43/100 | 34/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Llama-3.1-70B-InstructMeta | Mixtral 8x7B Instruct v0.1Mistral AI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 125.9 (best) | 118.4 |
| ECI rank | #149 of 165 (best) | #160 of 165 |
| GPQA DiamondGraduate-level science questions | 44.2% (best) | 30.6% |
| OTIS Mock AIME 2024–2025Competition mathematics | 3.6% | — |
| Price per million tokens | ||
| Input | $0.72 | $0.444 (best) |
| Output | $0.72 | $0.579 (best) |
| Cached input | — | — |
| Blended (3:1) | $0.72 | $0.478 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 8 providers | Median of 2 providers |
| Limits | ||
| Context window | 128,000 tokens (best) | 32,768 tokens |
| Max output | 4,096 tokens | 32,768 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | No |
| Structured output | No | No |
| Availability | ||
| Weights | Open | OpenApache 2.0 |
| API model ID | — | — |
| API providers | 8 (best) | 2 |
| Released | Jul 23, 2024 | Dec 11, 2023 |
| Knowledge cutoff | Dec 2023 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Llama-3.1-70B-Instruct$8.64
- Mixtral 8x7B Instruct v0.1$5.60
Which should you choose?
Which is better: Llama-3.1-70B-Instruct or Mixtral 8x7B Instruct v0.1?
Llama-3.1-70B-Instruct is the better all-round choice, scoring 43/100 against Mixtral 8x7B Instruct v0.1 (34). It leads on capability, inputs & features and context window. Mixtral 8x7B Instruct v0.1 wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Llama-3.1-70B-Instruct or Mixtral 8x7B Instruct v0.1?
Mixtral 8x7B Instruct v0.1 is cheaper at $0.444 input / $0.579 output per million tokens (median across 2 API providers). Llama-3.1-70B-Instruct costs $0.72 input / $0.72 output per million tokens (median across 8 API providers). At a typical mix of three input tokens to one output token, that is $0.478 per million tokens for Mixtral 8x7B Instruct v0.1 versus $0.72 for Llama-3.1-70B-Instruct (1.5× as much).
Which scores higher on benchmarks?
Llama-3.1-70B-Instruct scores higher on the Capabilities Index (ECI): Llama-3.1-70B-Instruct 125.9 (#149 of 165) and Mixtral 8x7B Instruct v0.1 118.4 (#160 of 165). The confidence ranges of the top two overlap (120.8–128.2 vs 110.9–121.0), so treat the gap as small. On individual benchmarks: GPQA Diamond — Llama-3.1-70B-Instruct 44.2%, Mixtral 8x7B Instruct v0.1 30.6%.
Which is better for coding?
There are no published SWE-bench Verified results for Llama-3.1-70B-Instruct and Mixtral 8x7B Instruct v0.1 yet, so there is no like-for-like coding score. On overall capability, Llama-3.1-70B-Instruct leads, which tends to carry over to coding, but test on your own codebase. Note that Mixtral 8x7B Instruct v0.1 does not support tool calling, which most coding agents need.
Which has the bigger context window?
Llama-3.1-70B-Instruct has the largest context window at 128,000 tokens, against 32,768 for Mixtral 8x7B Instruct v0.1. Maximum output per response: Llama-3.1-70B-Instruct up to 4,096, Mixtral 8x7B Instruct v0.1 up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Llama-3.1-70B-Instruct accepts text; Mixtral 8x7B Instruct v0.1 accepts text. They handle the same number of input types.
Are any of these open source?
Yes, both publish their weights (Apache 2.0), so you can self-host them.
Which is newer?
Llama-3.1-70B-Instruct is the newest, released Jul 23, 2024. Mixtral 8x7B Instruct v0.1 came out Dec 11, 2023. Knowledge cutoff: Llama-3.1-70B-Instruct Dec 2023.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Nov 2, 2026.
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