| Signal | DeepSeek V4 Flash | Delta | Mistral Large 2407 |
|---|---|---|---|
Capabilities | 67 | +17 | |
Benchmarks | 71 | +16 | |
Pricing | 100 | +6 | |
Context window size | 96 | +14 | |
Recency | 100 | +65 | |
Output Capacity | 93 | +73 | |
| Overall Result | 6 wins | of 6 | 0 wins |
Score History
72.1
current score
DeepSeek V4 Flash
right now
56.1
current score
DeepSeek
Mistral AI
DeepSeek V4 Flash saves you $472.00/month
That's $5664.00/year compared to Mistral Large 2407 at your current usage level of 100K calls/month.
| Metric | DeepSeek V4 Flash | Mistral Large 2407 | Winner |
|---|---|---|---|
| Overall Score | 72 | 56 | DeepSeek V4 Flash |
| Rank | #82 | #160 | DeepSeek V4 Flash |
| Quality Rank | #82 | #160 | DeepSeek V4 Flash |
| Adoption Rank | #82 | #160 | DeepSeek V4 Flash |
| Parameters | -- | -- | -- |
| Context Window | 1049K | 131K | DeepSeek V4 Flash |
| Pricing | $0.14/$0.28/M | $2.00/$6.00/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 50 | DeepSeek V4 Flash |
| Benchmarks | 71 | 55 | DeepSeek V4 Flash |
| Pricing | 100 | 94 | DeepSeek V4 Flash |
| Context window size | 96 | 81 | DeepSeek V4 Flash |
| Recency | 100 | 35 | DeepSeek V4 Flash |
| Output Capacity | 93 | 20 | DeepSeek V4 Flash |
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 72/100 (rank #82), placing it in the top 72% of all 290 models tracked.
Scores 56/100 (rank #160), placing it in the top 45% of all 290 models tracked.
DeepSeek V4 Flash has a 16-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
DeepSeek V4 Flash offers 95% better value per quality point. At 1M tokens/day, you'd spend $6.30/month with DeepSeek V4 Flash vs $120.00/month with Mistral Large 2407 - a $113.70 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
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. DeepSeek V4 Flash also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.28/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (72/100) correlates with better nuance, coherence, and style in long-form content
DeepSeek V4 Flash clearly outperforms Mistral Large 2407 with a significant 15.999999999999993-point lead. For most general use cases, DeepSeek V4 Flash is the stronger choice. However, Mistral Large 2407 may still excel in niche scenarios.
Best for Quality
DeepSeek V4 Flash
Marginally better benchmark scores; both are excellent
Best for Cost
DeepSeek V4 Flash
95% lower pricing; better value at scale
Best for Reliability
DeepSeek V4 Flash
Higher uptime and faster response speeds
Best for Prototyping
DeepSeek V4 Flash
Stronger community support and better developer experience
Best for Production
DeepSeek V4 Flash
Wider enterprise adoption and proven at scale
by DeepSeek
| Capability | DeepSeek V4 Flash | Mistral Large 2407 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
DeepSeek
Mistral AI
DeepSeek V4 Flash saves you $10.21/month
That's 95% cheaper than Mistral Large 2407 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 | DeepSeek V4 Flash | Mistral Large 2407 |
|---|---|---|
| Context Window | 1.0M | 131K |
| Max Output Tokens | 384,000 | -- |
| Open Source | Yes | No |
| Created | Apr 24, 2026 | Nov 19, 2024 |