GPT-4 vs Sarvam-M Multilingual Hybrid
GPT-4 (2023) and Sarvam-M Multilingual Hybrid (2025) are compact production models from OpenAI and Sarvam.ai. GPT-4 ships a 8k-token context window, while Sarvam-M Multilingual Hybrid 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.
Sarvam-M Multilingual Hybrid fits 16x more tokens; pick it for long-context work and GPT-4 for tighter calls.
Decision scorecard
Local evidence first| Signal | GPT-4 | Sarvam-M Multilingual Hybrid |
|---|---|---|
| Best for | multimodal apps, tool-calling agents, and provider-routed production | general production evaluation |
| Decision fit | Coding, Agents, and Vision | Long context |
| Context window | 8k | 128k |
| Cheapest output | $60/1M tokens | - |
| Provider routes | 4 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- GPT-4 has broader tracked provider coverage for fallback and route flexibility.
- GPT-4 uniquely exposes Vision, Multimodal, and JSON / Tool use in local model data.
- Local decision data tags GPT-4 for Coding, Agents, and Vision.
- Sarvam-M Multilingual Hybrid has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Local decision data tags Sarvam-M Multilingual Hybrid for Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
GPT-4
$39,000
Cheapest tracked route/tier: OpenAI API
Sarvam-M Multilingual Hybrid
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for GPT-4 and Sarvam-M Multilingual Hybrid; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision, Multimodal, and JSON / Tool use before moving production traffic.
- No overlapping tracked provider route is sourced for Sarvam-M Multilingual Hybrid and GPT-4; plan for SDK, billing, or endpoint changes.
- GPT-4 adds Vision, Multimodal, and JSON / Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2023-03-14 | 2025-06-01 |
| Context window | 8k | 128k |
| Parameters | 1.76T (8x222B MoE)* | 24B |
| Architecture | Mixture of Experts | Decoder Only |
| License | Proprietary | Apache 2.0OSI-approved |
| Openness | Proprietary | Open source |
| Weights | Not released | Not released |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | 2021-09 | - |
Pricing and availability
| Pricing attribute | GPT-4 | Sarvam-M Multilingual Hybrid |
|---|---|---|
| Input price | $30/1M tokens | - |
| Output price | $60/1M tokens | - |
| Providers |
Capabilities
| Capability | GPT-4 | Sarvam-M Multilingual Hybrid |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | No | No |
| JSON / Tool use | Yes | No |
| Structured outputs | Yes | No |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
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Last reviewed: 2026-09-08. Data sourced from public model cards and provider documentation.