DeepSeek V3 0324 vs Mistral Large 3 675B Instruct
DeepSeek V3 0324 (2025) and Mistral Large 3 675B Instruct (2025) are compact production models from DeepSeek and MistralAI. DeepSeek V3 0324 ships a 160k-token context window, while Mistral Large 3 675B Instruct ships a 128k-token context window. On Google-Proof Q&A, DeepSeek V3 0324 leads by 43.7 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
DeepSeek V3 0324 is ~85% cheaper at $0.27/1M; pay for Mistral Large 3 675B Instruct only for vision-heavy evaluation.
Decision scorecard
Local evidence first| Signal | DeepSeek V3 0324 | Mistral Large 3 675B Instruct |
|---|---|---|
| Best for | provider-routed production | multimodal apps and provider-routed production |
| Decision fit | Coding, Agents, and Long context | Coding, RAG, and Agents |
| Context window | 160k | 128k |
| Cheapest output | $1.12/1M tokens | $1.50/1M tokens |
| Provider routes | 3 tracked | 5 tracked |
| Shared benchmarks | Google-Proof Q&A leader | 2 rows |
Decision tradeoffs
- DeepSeek V3 0324 holds a shared-benchmark lead on Google-Proof Q&A, ahead by 43.7 points.
- DeepSeek V3 0324 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- DeepSeek V3 0324 has the lower cheapest tracked output price at $1.12/1M tokens.
- Local decision data tags DeepSeek V3 0324 for Coding, Agents, and Long context.
- Mistral Large 3 675B Instruct holds a shared-benchmark lead on HumanEval, ahead by 6.5 points.
- Mistral Large 3 675B Instruct has broader tracked provider coverage for fallback and procurement flexibility.
- Mistral Large 3 675B Instruct uniquely exposes Vision, Multimodal, and Structured outputs in local model data.
- Local decision data tags Mistral Large 3 675B Instruct for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
DeepSeek V3 0324
$496
Cheapest tracked route/tier: Novita AI
Mistral Large 3 675B Instruct
$775
Cheapest tracked route/tier: AWS Bedrock
Estimated monthly gap: $279. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on Microsoft Foundry; start route-level A/B tests there.
- Mistral Large 3 675B Instruct is $0.38/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Mistral Large 3 675B Instruct adds Vision, Multimodal, and Structured outputs in local capability data.
- Provider overlap exists on Microsoft Foundry; start route-level A/B tests there.
- DeepSeek V3 0324 is $0.38/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Multimodal, and Structured outputs before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-03-24 | 2025-12-01 |
| Context window | 160k | 128k |
| Parameters | 671B | 675B |
| Architecture | decoder only | decoder only |
| License | MIT(OSI) | Mistral License |
| Openness | Open source | Open weights |
| Commercial use | Commercial use allowed | Non-commercial only |
| Knowledge cutoff | - | 2024-11 |
Pricing and availability
| Pricing attribute | DeepSeek V3 0324 | Mistral Large 3 675B Instruct |
|---|---|---|
| Input price | $0.27/1M tokens | $0.50/1M tokens |
| Output price | $1.12/1M tokens | $1.50/1M tokens |
| Providers |
Capabilities
| Capability | DeepSeek V3 0324 | Mistral Large 3 675B Instruct |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | No | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | DeepSeek V3 0324 | Mistral Large 3 675B Instruct |
|---|---|---|
| Google-Proof Q&A | 87.6 | 43.9 |
| HumanEval | 85.5 | 92.0 |
Deep dive
On shared benchmark coverage, Google-Proof Q&A has DeepSeek V3 0324 at 87.6 and Mistral Large 3 675B Instruct at 43.9, with DeepSeek V3 0324 ahead by 43.7 points; HumanEval has DeepSeek V3 0324 at 85.5 and Mistral Large 3 675B Instruct at 92, with Mistral Large 3 675B Instruct ahead by 6.5 points. The largest visible gap is 43.7 points on Google-Proof Q&A, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.
The capability footprint differs most on vision: Mistral Large 3 675B Instruct, multimodal input: Mistral Large 3 675B Instruct, and structured outputs: Mistral Large 3 675B Instruct. Both models share the core language-model surface, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
For cost, DeepSeek V3 0324 lists $0.27/1M input and $1.12/1M output tokens on the cheapest tracked provider, while Mistral Large 3 675B Instruct lists $0.50/1M input and $1.50/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts DeepSeek V3 0324 lower by about $0.27 per million blended tokens. Availability is 3 providers versus 5, so concentration risk also matters.
Choose DeepSeek V3 0324 when long-context analysis, larger context windows, and lower input-token cost are central to the workload. Choose Mistral Large 3 675B Instruct when vision-heavy evaluation and broader provider choice are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.
FAQ
Which has a larger context window, DeepSeek V3 0324 or Mistral Large 3 675B Instruct?
DeepSeek V3 0324 supports 160k tokens, while Mistral Large 3 675B Instruct supports 128k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, DeepSeek V3 0324 or Mistral Large 3 675B Instruct?
DeepSeek V3 0324 is cheaper on tracked token pricing. DeepSeek V3 0324 costs $0.27/1M input and $1.12/1M output tokens. Mistral Large 3 675B Instruct costs $0.50/1M input and $1.50/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is DeepSeek V3 0324 or Mistral Large 3 675B Instruct open source?
DeepSeek V3 0324 is listed under MIT. Mistral Large 3 675B Instruct is listed under Mistral License. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for vision, DeepSeek V3 0324 or Mistral Large 3 675B Instruct?
Mistral Large 3 675B Instruct has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for multimodal input, DeepSeek V3 0324 or Mistral Large 3 675B Instruct?
Mistral Large 3 675B Instruct has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run DeepSeek V3 0324 and Mistral Large 3 675B Instruct?
DeepSeek V3 0324 is available on Fireworks AI, Microsoft Foundry, and Novita AI. Mistral Large 3 675B Instruct is available on AWS Bedrock, NVIDIA NIM, Mistral AI Studio, Microsoft Foundry, and Vercel AI Gateway. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-06-04. Data sourced from public model cards and provider documentation.