| Signal | Mistral 7B Instruct v0.1 | Delta | Mistral Medium 3 |
|---|---|---|---|
Capabilities | 17 | -50 | |
Pricing | 100 | +2 | |
Context window size | 55 | -26 | |
Recency | 0 | -72 | |
Output Capacity | 20 | -- | |
| Overall Result | 1 wins | of 5 | 3 wins |
Score History
22.5
current score
Mistral 7B Instruct v0.1
right now
14.6
current score
Mistral AI
Mistral AI
Mistral 7B Instruct v0.1 saves you $119.50/month
That's $1434.00/year compared to Mistral Medium 3 at your current usage level of 100K calls/month.
| Metric | Mistral 7B Instruct v0.1 | Mistral Medium 3 | Winner |
|---|---|---|---|
| Overall Score | 23 | 15 | Mistral 7B Instruct v0.1 |
| Rank | #311 | #313 | Mistral 7B Instruct v0.1 |
| Quality Rank | #311 | #313 | Mistral 7B Instruct v0.1 |
| Adoption Rank | #311 | #313 | Mistral 7B Instruct v0.1 |
| Parameters | 7B | -- | -- |
| Context Window | 3K | 131K | Mistral Medium 3 |
| Pricing | $0.11/$0.19/M | $0.40/$2.00/M | -- |
| Signal Scores | |||
| Capabilities | 17 | 67 | Mistral Medium 3 |
| Pricing | 100 | 98 | Mistral 7B Instruct v0.1 |
| Context window size | 55 | 81 | Mistral Medium 3 |
| Recency | 0 | 72 | Mistral Medium 3 |
| Output Capacity | 20 | 20 | Mistral 7B Instruct v0.1 |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 23/100 (rank #311), placing it in the top -7% of all 290 models tracked.
Scores 15/100 (rank #313), placing it in the top -8% of all 290 models tracked.
Mistral 7B Instruct v0.1 has a 8-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Mistral 7B Instruct v0.1 offers 88% better value per quality point. At 1M tokens/day, you'd spend $4.50/month with Mistral 7B Instruct v0.1 vs $36.00/month with Mistral Medium 3 - a $31.50 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. Mistral 7B Instruct v0.1 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (131K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.19/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (23/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
Mistral 7B Instruct v0.1 has a moderate advantage with a 7.9-point lead in composite score. It wins on more signal dimensions, but Mistral Medium 3 has specific strengths that could make it the better choice for certain workflows.
Best for Quality
Mistral 7B Instruct v0.1
Marginally better benchmark scores; both are excellent
Best for Cost
Mistral 7B Instruct v0.1
88% lower pricing; better value at scale
Best for Reliability
Mistral 7B Instruct v0.1
Higher uptime and faster response speeds
Best for Prototyping
Mistral 7B Instruct v0.1
Stronger community support and better developer experience
Best for Production
Mistral 7B Instruct v0.1
Wider enterprise adoption and proven at scale
by Mistral AI
| Capability | Mistral 7B Instruct v0.1 | Mistral Medium 3 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Mistral AI
Mistral AI
Mistral 7B Instruct v0.1 saves you $2.69/month
That's 86% cheaper than Mistral Medium 3 at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Mistral 7B Instruct v0.1 | Mistral Medium 3 |
|---|---|---|
| Context Window | 3K | 131K |
| Max Output Tokens | -- | -- |
| Open Source | Yes | No |
| Created | Sep 28, 2023 | May 7, 2025 |
Mistral 7B Instruct v0.1 scores 23/100 (rank #311) compared to Mistral Medium 3's 15/100 (rank #313), giving it a 8-point advantage. Mistral 7B Instruct v0.1 is the stronger overall choice, though Mistral Medium 3 may excel in specific areas like certain benchmarks.
Mistral 7B Instruct v0.1 is ranked #311 and Mistral Medium 3 is ranked #313 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
Mistral 7B Instruct v0.1 is cheaper at $0.19/M output tokens vs Mistral Medium 3's $2.00/M output tokens - 10.5x more expensive. Input token pricing: Mistral 7B Instruct v0.1 at $0.11/M vs Mistral Medium 3 at $0.40/M.
Mistral Medium 3 has a larger context window of 131,072 tokens compared to Mistral 7B Instruct v0.1's 2,824 tokens. A larger context window means the model can process longer documents and conversations.