Claude Haiku 3 vs Llama-3.1-8B-Instruct vs Mixtral 8x7B Instruct v0.1
Too close to call on our weighted score (Llama-3.1-8B-Instruct 49, Claude Haiku 3 46, Mixtral 8x7B Instruct v0.1 34). The right pick depends on what you value most.
AnthropicClaude Haiku 3
46/100- ECI118.8
- Price$0.25 / $1.25
- Context200K
MetaLlama-3.1-8B-Instruct
49/100- ECI116.4
- Price$0.06 / $0.08
- Context128K
Mistral AIMixtral 8x7B Instruct v0.1
34/100- ECI118.4
- Price$0.444 / $0.579
- Context33K
Too close to call
It is close. Our weighted score puts them within 2 points (Llama-3.1-8B-Instruct 49/100, Claude Haiku 3 46/100, Mixtral 8x7B Instruct v0.1 34/100), so choose by what matters most for your work: Claude Haiku 3 for raw capability and Llama-3.1-8B-Instruct on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityClaude Haiku 3Capabilities Index (ECI): Claude Haiku 3 118.8 · Mixtral 8x7B Instruct v0.1 118.4 · Llama-3.1-8B-Instruct 116.4
- Lowest priceLlama-3.1-8B-InstructLlama-3.1-8B-Instruct $0.065 · Mixtral 8x7B Instruct v0.1 $0.478 · Claude Haiku 3 $0.50 per 1M tokens (3:1 blend)
- Longest contextClaude Haiku 3Claude Haiku 3 200,000 · Llama-3.1-8B-Instruct 128,000 · Mixtral 8x7B Instruct v0.1 32,768 tokens
- Widest inputsClaude Haiku 3Claude Haiku 3: Text, Images, PDFs · Llama-3.1-8B-Instruct: Text · Mixtral 8x7B Instruct v0.1: Text
- Self-hostingLlama-3.1-8B-Instruct and Mixtral 8x7B Instruct v0.1Publishes downloadable weights (Apache 2.0)
| Measure | Weight | Claude Haiku 3 | Llama-3.1-8B-Instruct | Mixtral 8x7B Instruct v0.1 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 38 | 35 | 38 |
| Price | 25% | 61 | 100 | 62 |
| Inputs & features | 15% | 60 | 25 | 0 |
| Context window | 10% | 32 | 24 | 0 |
| Overall | 100% | 46/100 | 49/100 | 34/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Claude Haiku 3Anthropic | Llama-3.1-8B-InstructMeta | Mixtral 8x7B Instruct v0.1Mistral AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 118.8 (best) | 116.4 | 118.4 |
| ECI rank | #156 of 165 (best) | #162 of 165 | #160 of 165 |
| GPQA DiamondGraduate-level science questions | 36.3% (best) | 27.0% | 30.6% |
| OTIS Mock AIME 2024–2025Competition mathematics | 1.8% (best) | 1.7% | — |
| Price per million tokens | |||
| Input | $0.25 | $0.06 (best) | $0.444 |
| Output | $1.25 | $0.08 (best) | $0.579 |
| Cached input | — | — | — |
| Blended (3:1) | $0.50 | $0.065 (best) | $0.478 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 3 providers | Median of 17 providers | Median of 2 providers |
| Limits | |||
| Context window | 200,000 tokens (best) | 128,000 tokens | 32,768 tokens |
| Max output | 4,096 tokens | 4,096 tokens | 32,768 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | No |
| PDFs | Yes | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | No |
| Tool calling | Yes | Yes | No |
| Structured output | No | No | No |
| Availability | |||
| Weights | Proprietary | Open | OpenApache 2.0 |
| API model ID | — | — | — |
| API providers | 3 | 18 (best) | 2 |
| Released | Mar 13, 2024 | Jul 23, 2024 | Dec 11, 2023 |
| Knowledge cutoff | Aug 31, 2023 | 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.
- Claude Haiku 3$5.00
- Llama-3.1-8B-Instruct$0.76
- Mixtral 8x7B Instruct v0.1$5.60
Which should you choose?
Which is better: Claude Haiku 3, Llama-3.1-8B-Instruct or Mixtral 8x7B Instruct v0.1?
It is close. Our weighted score puts them within 2 points (Llama-3.1-8B-Instruct 49/100, Claude Haiku 3 46/100, Mixtral 8x7B Instruct v0.1 34/100), so choose by what matters most for your work: Claude Haiku 3 for raw capability and Llama-3.1-8B-Instruct on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Claude Haiku 3, Llama-3.1-8B-Instruct or Mixtral 8x7B Instruct v0.1?
Llama-3.1-8B-Instruct is cheaper at $0.06 input / $0.08 output per million tokens (median across 17 API providers). Mixtral 8x7B Instruct v0.1 costs $0.444 input / $0.579 output per million tokens (median across 2 API providers); Claude Haiku 3 costs $0.25 input / $1.25 output per million tokens (median across 3 API providers). At a typical mix of three input tokens to one output token, that is $0.065 per million tokens for Llama-3.1-8B-Instruct versus $0.478 for Mixtral 8x7B Instruct v0.1 (7.4× as much) and $0.50 for Claude Haiku 3 (7.7× as much).
Which scores higher on benchmarks?
Claude Haiku 3 scores higher on the Capabilities Index (ECI): Claude Haiku 3 118.8 (#156 of 165), Mixtral 8x7B Instruct v0.1 118.4 (#160 of 165) and Llama-3.1-8B-Instruct 116.4 (#162 of 165). The confidence ranges of the top two overlap (111.7–121.4 vs 110.9–121.0), so treat the gap as small. On individual benchmarks: GPQA Diamond — Claude Haiku 3 36.3%, Mixtral 8x7B Instruct v0.1 30.6%, Llama-3.1-8B-Instruct 27.0%.
Which is better for coding?
There are no published SWE-bench Verified results for Claude Haiku 3, Llama-3.1-8B-Instruct and Mixtral 8x7B Instruct v0.1 yet, so there is no like-for-like coding score. On overall capability, Claude Haiku 3 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?
Claude Haiku 3 has the largest context window at 200,000 tokens, against 128,000 for Llama-3.1-8B-Instruct and 32,768 for Mixtral 8x7B Instruct v0.1. Maximum output per response: Claude Haiku 3 up to 4,096, Llama-3.1-8B-Instruct up to 4,096, Mixtral 8x7B Instruct v0.1 up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Claude Haiku 3 accepts text, images and PDFs; Llama-3.1-8B-Instruct accepts text; Mixtral 8x7B Instruct v0.1 accepts text. Claude Haiku 3 handles the widest range of inputs.
Are any of these open source?
Llama-3.1-8B-Instruct and Mixtral 8x7B Instruct v0.1 publishes its weights (Apache 2.0) and can be self-hosted; Claude Haiku 3 is proprietary.
Which is newer?
Llama-3.1-8B-Instruct is the newest, released Jul 23, 2024. Claude Haiku 3 came out Mar 13, 2024; Mixtral 8x7B Instruct v0.1 came out Dec 11, 2023. Knowledge cutoff: Claude Haiku 3 Aug 31, 2023, Llama-3.1-8B-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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