GPT-5.4-Cyber vs Mistral Large 2
GPT-5.4-Cyber (2026) and Mistral Large 2 (2025) are frontier reasoning models from OpenAI and MistralAI. GPT-5.4-Cyber ships a not-yet-sourced context window, while Mistral Large 2 ships a 128k-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads. It focuses on practical selection signals rather than broad model-family marketing.
GPT-5.4-Cyber is safer overall; choose Mistral Large 2 when vision-heavy evaluation matters.
Decision scorecard
Local evidence first| Signal | GPT-5.4-Cyber | Mistral Large 2 |
|---|---|---|
| Best for | reasoning-heavy apps and multimodal apps | multimodal apps, tool-calling agents, and provider-routed production |
| Decision fit | Vision | Coding, RAG, and Agents |
| Context window | — | 128k |
| Cheapest output | - | $2.40/1M tokens |
| Provider routes | 0 tracked | 4 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- GPT-5.4-Cyber uniquely exposes Reasoning in local model data.
- Local decision data tags GPT-5.4-Cyber for Vision.
- Mistral Large 2 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Mistral Large 2 has broader tracked provider coverage for fallback and procurement flexibility.
- Mistral Large 2 uniquely exposes Function calling, Tool use, and Structured outputs in local model data.
- Local decision data tags Mistral Large 2 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.
GPT-5.4-Cyber
Unavailable
No complete token price in local provider data
Mistral Large 2
$984
Cheapest tracked route/tier: AWS Bedrock
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for GPT-5.4-Cyber and Mistral Large 2; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Reasoning before moving production traffic.
- Mistral Large 2 adds Function calling, Tool use, and Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for Mistral Large 2 and GPT-5.4-Cyber; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Function calling, Tool use, and Structured outputs before moving production traffic.
- GPT-5.4-Cyber adds Reasoning in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-04-14 | 2025-11-25 |
| Context window | — | 128k |
| Parameters | — | 123B |
| Architecture | decoder only | decoder only |
| License | Proprietary | Mistral License |
| Openness | Proprietary | Open weights |
| Commercial use | Commercial use with conditions | Non-commercial only |
| Knowledge cutoff | 2025-08 | 2025-07 |
Pricing and availability
| Pricing attribute | GPT-5.4-Cyber | Mistral Large 2 |
|---|---|---|
| Input price | - | $0.48/1M tokens |
| Output price | - | $2.40/1M tokens |
| Providers | - |
Capabilities
| Capability | GPT-5.4-Cyber | Mistral Large 2 |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | Yes | No |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | No | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on reasoning mode: GPT-5.4-Cyber, function calling: Mistral Large 2, tool use: Mistral Large 2, and structured outputs: Mistral Large 2. Both models share vision and multimodal input, 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.
Pricing coverage is uneven: GPT-5.4-Cyber has no token price sourced yet and Mistral Large 2 has $0.48/1M input tokens. Provider availability is 0 tracked routes versus 4. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose GPT-5.4-Cyber when reasoning depth are central to the workload. Choose Mistral Large 2 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. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.
FAQ
Is GPT-5.4-Cyber or Mistral Large 2 open source?
GPT-5.4-Cyber is listed under Proprietary. Mistral Large 2 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, GPT-5.4-Cyber or Mistral Large 2?
Both GPT-5.4-Cyber and Mistral Large 2 expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, GPT-5.4-Cyber or Mistral Large 2?
Both GPT-5.4-Cyber and Mistral Large 2 expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for reasoning mode, GPT-5.4-Cyber or Mistral Large 2?
GPT-5.4-Cyber has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for function calling, GPT-5.4-Cyber or Mistral Large 2?
Mistral Large 2 has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run GPT-5.4-Cyber and Mistral Large 2?
GPT-5.4-Cyber is available on the tracked providers still being sourced. Mistral Large 2 is available on OpenRouter, IBM watsonx, AWS Bedrock, and Mistral AI Studio. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-06-04. Data sourced from public model cards and provider documentation.