GPT-4 Turbo Preview vs Granite 3.3 8B Instruct
GPT-4 Turbo Preview (2023) and Granite 3.3 8B Instruct (2025) are compact production models from OpenAI and IBM Research. GPT-4 Turbo Preview ships a 128k-token context window, while Granite 3.3 8B Instruct ships a 128k-token context window. On pricing, Granite 3.3 8B Instruct costs $0.03/1M input tokens versus $10/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Granite 3.3 8B Instruct is ~33233% cheaper at $0.03/1M; pay for GPT-4 Turbo Preview only for coding workflow support.
Decision scorecard
Local evidence first| Signal | GPT-4 Turbo Preview | Granite 3.3 8B Instruct |
|---|---|---|
| Best for | multimodal apps and provider-routed production | tool-calling agents and provider-routed production |
| Decision fit | Coding, RAG, and Agents | RAG, Agents, and Long context |
| Context window | 128k | 128k |
| Cheapest output | $30/1M tokens | $0.25/1M tokens |
| Provider routes | 3 tracked | 2 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- GPT-4 Turbo Preview has broader tracked provider coverage for fallback and procurement flexibility.
- GPT-4 Turbo Preview uniquely exposes Vision, Structured outputs, and Code execution in local model data.
- Local decision data tags GPT-4 Turbo Preview for Coding, RAG, and Agents.
- Granite 3.3 8B Instruct has the lower cheapest tracked output price at $0.25/1M tokens.
- Granite 3.3 8B Instruct uniquely exposes Function calling and Tool use in local model data.
- Local decision data tags Granite 3.3 8B Instruct for RAG, Agents, and Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
GPT-4 Turbo Preview
$15,500
Cheapest tracked route/tier: OpenAI API
Granite 3.3 8B Instruct
$86.50
Cheapest tracked route/tier: Replicate API
Estimated monthly gap: $15,414. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for GPT-4 Turbo Preview and Granite 3.3 8B Instruct; plan for SDK, billing, or endpoint changes.
- Granite 3.3 8B Instruct is $29.75/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Structured outputs, and Code execution before moving production traffic.
- Granite 3.3 8B Instruct adds Function calling and Tool use in local capability data.
- No overlapping tracked provider route is sourced for Granite 3.3 8B Instruct and GPT-4 Turbo Preview; plan for SDK, billing, or endpoint changes.
- GPT-4 Turbo Preview is $29.75/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Function calling and Tool use before moving production traffic.
- GPT-4 Turbo Preview adds Vision, Structured outputs, and Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2023-11-06 | 2025-03-01 |
| Context window | 128k | 128k |
| Parameters | 1.76T (8x222B MoE)* | 8B |
| Architecture | mixture of experts | decoder only |
| License | Proprietary | Apache 2.0(OSI) |
| Openness | Proprietary | Open source |
| Commercial use | Commercial use with conditions | Commercial use allowed |
| Knowledge cutoff | 2023-12 | 2024-04 |
Pricing and availability
| Pricing attribute | GPT-4 Turbo Preview | Granite 3.3 8B Instruct |
|---|---|---|
| Input price | $10/1M tokens | $0.03/1M tokens |
| Output price | $30/1M tokens | $0.25/1M tokens |
| Providers |
Capabilities
| Capability | GPT-4 Turbo Preview | Granite 3.3 8B Instruct |
|---|---|---|
| Vision | Yes | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | Yes | No |
| Code execution | Yes | 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 vision: GPT-4 Turbo Preview, function calling: Granite 3.3 8B Instruct, tool use: Granite 3.3 8B Instruct, structured outputs: GPT-4 Turbo Preview, and code execution: GPT-4 Turbo Preview. 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, GPT-4 Turbo Preview lists $10/1M input and $30/1M output tokens on the cheapest tracked provider, while Granite 3.3 8B Instruct lists $0.03/1M input and $0.25/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Granite 3.3 8B Instruct lower by about $15.90 per million blended tokens. Availability is 3 providers versus 2, so concentration risk also matters.
Choose GPT-4 Turbo Preview when coding workflow support and broader provider choice are central to the workload. Choose Granite 3.3 8B Instruct when provider fit and lower input-token cost 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, GPT-4 Turbo Preview or Granite 3.3 8B Instruct?
GPT-4 Turbo Preview supports 128k tokens, while Granite 3.3 8B 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, GPT-4 Turbo Preview or Granite 3.3 8B Instruct?
Granite 3.3 8B Instruct is cheaper on tracked token pricing. GPT-4 Turbo Preview costs $10/1M input and $30/1M output tokens. Granite 3.3 8B Instruct costs $0.03/1M input and $0.25/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is GPT-4 Turbo Preview or Granite 3.3 8B Instruct open source?
GPT-4 Turbo Preview is listed under Proprietary. Granite 3.3 8B Instruct is listed under Apache 2.0. 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-4 Turbo Preview or Granite 3.3 8B Instruct?
GPT-4 Turbo Preview 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 function calling, GPT-4 Turbo Preview or Granite 3.3 8B Instruct?
Granite 3.3 8B Instruct 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-4 Turbo Preview and Granite 3.3 8B Instruct?
GPT-4 Turbo Preview is available on OpenAI API, Azure OpenAI, and OpenRouter. Granite 3.3 8B Instruct is available on NVIDIA NIM and Replicate API. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.