GLM-5V-Turbo vs Llama 3 70B Instruct
GLM-5V-Turbo (2026) and Llama 3 70B Instruct (2024) are frontier reasoning models from Zhipu AI and AI at Meta. GLM-5V-Turbo ships a 200k-token context window, while Llama 3 70B Instruct ships a 8k-token context window. On pricing, Llama 3 70B Instruct costs $0.40/1M input tokens versus $1.20/1M 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.
Llama 3 70B Instruct is ~200% cheaper at $0.40/1M; pay for GLM-5V-Turbo only for reasoning depth.
Decision scorecard
Local evidence first| Signal | GLM-5V-Turbo | Llama 3 70B Instruct |
|---|---|---|
| Best for | reasoning-heavy apps, multimodal apps, and tool-calling agents | provider-routed production |
| Decision fit | RAG, Agents, and Long context | Coding, Classification, and JSON / Tool use |
| Context window | 200k | 8k |
| Cheapest output | $4/1M tokens | $0.40/1M tokens |
| Provider routes | 2 tracked | 18 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- GLM-5V-Turbo has the larger context window for long prompts, retrieval packs, or transcript analysis.
- GLM-5V-Turbo uniquely exposes Vision, Multimodal, and Reasoning in local model data.
- Local decision data tags GLM-5V-Turbo for RAG, Agents, and Long context.
- Llama 3 70B Instruct has the lower cheapest tracked output price at $0.40/1M tokens.
- Llama 3 70B Instruct has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Llama 3 70B Instruct for Coding, Classification, and JSON / Tool use.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
GLM-5V-Turbo
$1,960
Cheapest tracked route/tier: OpenRouter
Llama 3 70B Instruct
$420
Cheapest tracked route/tier: Hyperbolic AI Inference
Estimated monthly gap: $1,540. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Llama 3 70B Instruct is $3.60/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- GLM-5V-Turbo is $3.60/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- GLM-5V-Turbo adds Vision, Multimodal, and Reasoning in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-04-01 | 2024-04-18 |
| Context window | 200k | 8k |
| Parameters | 744B total, 40B active | 70B |
| Architecture | mixture of experts | decoder only |
| License | MIT(OSI) | Llama 3 Community |
| Openness | Open source | Open weights |
| Commercial use | Commercial use allowed | Commercial use with conditions |
| Knowledge cutoff | 2025-11 | 2023-12 |
Pricing and availability
| Pricing attribute | GLM-5V-Turbo | Llama 3 70B Instruct |
|---|---|---|
| Input price | $1.20/1M tokens | $0.40/1M tokens |
| Output price | $4/1M tokens | $0.40/1M tokens |
| Providers |
Capabilities
| Capability | GLM-5V-Turbo | Llama 3 70B Instruct |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | Yes | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | Yes | 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 vision: GLM-5V-Turbo, multimodal input: GLM-5V-Turbo, reasoning mode: GLM-5V-Turbo, function calling: GLM-5V-Turbo, and tool use: GLM-5V-Turbo. Both models share structured outputs, 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, GLM-5V-Turbo lists $1.20/1M input and $4/1M output tokens on the cheapest tracked provider, while Llama 3 70B Instruct lists $0.40/1M input and $0.40/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 3 70B Instruct lower by about $1.64 per million blended tokens. Availability is 2 providers versus 18, so concentration risk also matters.
Choose GLM-5V-Turbo when reasoning depth and larger context windows are central to the workload. Choose Llama 3 70B Instruct when provider fit, lower input-token cost, 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.
FAQ
Which has a larger context window, GLM-5V-Turbo or Llama 3 70B Instruct?
GLM-5V-Turbo supports 200k tokens, while Llama 3 70B Instruct supports 8k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, GLM-5V-Turbo or Llama 3 70B Instruct?
Llama 3 70B Instruct is cheaper on tracked token pricing. GLM-5V-Turbo costs $1.20/1M input and $4/1M output tokens. Llama 3 70B Instruct costs $0.40/1M input and $0.40/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is GLM-5V-Turbo or Llama 3 70B Instruct open source?
GLM-5V-Turbo is listed under MIT. Llama 3 70B Instruct is listed under Llama 3 Community. 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, GLM-5V-Turbo or Llama 3 70B Instruct?
GLM-5V-Turbo 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. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, GLM-5V-Turbo or Llama 3 70B Instruct?
GLM-5V-Turbo 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 GLM-5V-Turbo and Llama 3 70B Instruct?
GLM-5V-Turbo is available on OpenRouter and Vercel AI Gateway. Llama 3 70B Instruct is available on GCP Vertex AI, AWS Bedrock, Microsoft Foundry, NVIDIA NIM, and DeepInfra. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.