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© 2026 Rival
  1. Home
  2. Models
  3. Llama 3.1 70B (Instruct)
  4. Startup Pitch Teardown

See how Llama 3.1 70B (Instruct) compares on this challenge:

  • Llama 3.1 70B (Instruct) vs Claude Sonnet 4.6
  • Llama 3.1 70B (Instruct) vs Gemini 3.1 Pro Preview
  • Llama 3.1 70B (Instruct) vs Z.ai: GLM 5

4 models have responded to the "Startup Pitch Teardown" challenge. Compare their approaches side-by-side on RIVAL. This response is part of RIVAL's open dataset of 5,600+ AI model responses.

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Back to Llama 3.1 70B (Instruct)

Startup Pitch Teardown

Llama 3 1 70B's response to the 'Startup Pitch Teardown' challenge.

Llama 3.1 70B (Instruct)
February 3, 2026
Text

?
Prompt

Here's a pitch deck summary for a startup called "MindMeld AI": **Slide 1 - Vision:** "We're building the future of human-AI collaboration. MindMeld AI reads your brainwaves to predict what you want to type before you think it." **Slide 2 - Problem:** "Typing is slow. Voice is awkward in public. Current BCI technology is too invasive. We need a non-invasive, consumer-grade brain-computer interface for everyday communication." **Slide 3 - Solution:** "Our proprietary EEG headband uses advanced ML to decode neural patterns into text with 94% accuracy. Works with any language, any device." **Slide 4 - Market:** "The BCI market is projected to reach $5.3B by 2030 (Grand View Research). We're targeting the 3.5 billion smartphone users worldwide. TAM: $180B." **Slide 5 - Traction:** "500 beta users. 12 enterprise pilots. $200K ARR. Featured in TechCrunch and Wired. Partnership discussions with Apple and Samsung." **Slide 6 - Team:** "CEO: Former Google Brain researcher (3 years). CTO: PhD in Neuroscience from MIT. Head of Product: Ex-Snap, built AR features used by 100M users." **Slide 7 - Ask:** "Raising $15M Series A at $80M pre-money valuation. Funds will be used for: FDA clearance (40%), R&D (35%), Go-to-market (25%)." Identify the 3 weakest claims in this pitch, explain why they're weak using specific evidence or logical reasoning, and suggest how to strengthen each one with concrete improvements.

Llama 3.1 70B (Instruct)
Response

llama-3.1-70b logo
Llama 3.1 70B (Instruct)Startup Pitch Teardown
llama-3.1-70b logo
Llama 3.1 70B (Instruct)

Based on the pitch deck, I've identified the three weakest claims and provided suggestions for improvement:

Weak Claim 1: "94% accuracy" (Slide 3)

This claim is weak because it lacks context and credibility. 94% accuracy sounds impressive, but without knowing the sample size, test conditions, and what exactly the accuracy is measuring, it's hard to trust this claim. Furthermore, accuracy can vary depending on individual users, and 94% might not be representative of real-world performance.

Improvement:

  • Provide more context: Explain the sample size, test conditions, and what the accuracy is measuring (e.g., character-level accuracy, sentence-level accuracy).
  • Cite a credible study or benchmark: Reference a reputable study or benchmark that supports the 94% accuracy claim, such as a published research paper or an industry-standard benchmark.
  • Offer a more nuanced view of accuracy: Instead of a single number, provide a range of accuracy values or a breakdown of accuracy across different scenarios, such as text length or typing speed.

Weak Claim 2: "$180B TAM" (Slide 4)

This claim is weak because it seems arbitrary and lacks concrete evidence. The $180B TAM (Total Addressable Market) figure is likely based on a rough estimate, but without knowing the assumptions and calculations behind it, the claim feels unsubstantiated.

Improvement:

  • Break down the TAM calculation: Provide a clear explanation of how the TAM was estimated, including the assumptions and data used.
  • Reference credible market research: Cite a reputable market research report or study that supports the TAM estimate, such as a report from a well-known research firm.
  • Offer a more nuanced view of the market: Instead of a single number, provide a range of TAM values or a breakdown of the market into different segments, such as enterprise, consumer, or specific industries.

Weak Claim 3: "Partnership discussions with Apple and Samsung" (Slide 5)

This claim is weak because it lacks concrete evidence and feels like a "name-drop" without substance. Without knowing the status or details of these discussions, it's hard to trust that they will lead to meaningful partnerships.

Improvement:

  • Provide more concrete evidence: Share a quote, testimonial, or statement from Apple or Samsung that supports the partnership discussions.
  • Clarify the nature of the discussions: Explain what the discussions entail, such as joint R&D efforts, integration plans, or commercial partnerships.
  • Highlight tangible progress: Instead of just mentioning discussions, highlight any tangible progress, such as a joint proof-of-concept, pilot project, or signed agreement.

By addressing these weaknesses, MindMeld AI can strengthen its pitch and demonstrate a more robust and credible vision for its brain-computer interface technology.

Startup Pitch Teardown

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This output is part of our open dataset — 5K+ AI responses across 200 models

About Llama 3.1 70B (Instruct)

Capabilities

ConversationReasoningCode Generation

Categories

TextMultimodal

Specifications

Provider
Meta
Released
2024-07-23
Size
LARGE
Parameters
70B
Context
128,000 tokens

Keep exploring

SAME PROMPT

Claude Sonnet 4.6's version

Same prompt, different result

COMPARE

Llama 3.1 70B (Instruct) vs Gemini 3.1 Pro Preview

Both outputs, side by side

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