Claude Haiku 4.5 vs GLM-5V-Turbo
Claude Haiku 4.5 (2025) and GLM-5V-Turbo (2026) are frontier reasoning models from Anthropic and Zhipu AI. Claude Haiku 4.5 ships a 200k-token context window, while GLM-5V-Turbo ships a 200k-token context window. On pricing, Claude Haiku 4.5 costs $0.80/1M 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.
Claude Haiku 4.5 is ~50% cheaper at $0.80/1M; pay for GLM-5V-Turbo only for reasoning depth.
Decision scorecard
Local evidence first| Signal | Claude Haiku 4.5 | GLM-5V-Turbo |
|---|---|---|
| Best for | multimodal apps, tool-calling agents, and provider-routed production | reasoning-heavy apps, multimodal apps, and tool-calling agents |
| Decision fit | Coding, RAG, and Agents | RAG, Agents, and Long context |
| Context window | 200k | 200k |
| Cheapest output | $4/1M tokens | $4/1M tokens |
| Provider routes | 8 tracked | 2 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Claude Haiku 4.5 has broader tracked provider coverage for fallback and procurement flexibility.
- Claude Haiku 4.5 uniquely exposes Code execution in local model data.
- Local decision data tags Claude Haiku 4.5 for Coding, RAG, and Agents.
- GLM-5V-Turbo uniquely exposes Reasoning in local model data.
- Local decision data tags GLM-5V-Turbo 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.
Claude Haiku 4.5
$1,640
Cheapest tracked route/tier: AWS Bedrock
GLM-5V-Turbo
$1,960
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $320. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
- Cheapest tracked output pricing is tied, so migration risk shifts to quality, latency, and provider packaging.
- Check replacement coverage for Code execution before moving production traffic.
- GLM-5V-Turbo adds Reasoning in local capability data.
- Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
- Cheapest tracked output pricing is tied, so migration risk shifts to quality, latency, and provider packaging.
- Check replacement coverage for Reasoning before moving production traffic.
- Claude Haiku 4.5 adds Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-10-01 | 2026-04-01 |
| Context window | 200k | 200k |
| Parameters | — | 744B total, 40B active |
| Architecture | decoder only | mixture of experts |
| License | Proprietary | MIT(OSI) |
| Openness | Proprietary | Open source |
| Commercial use | Commercial use with conditions | Commercial use allowed |
| Knowledge cutoff | 2025-02 | 2025-11 |
Pricing and availability
| Pricing attribute | Claude Haiku 4.5 | GLM-5V-Turbo |
|---|---|---|
| Input price | $0.80/1M tokens | $1.20/1M tokens |
| Output price | $4/1M tokens | $4/1M tokens |
| Providers |
Capabilities
| Capability | Claude Haiku 4.5 | GLM-5V-Turbo |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | Yes |
| Function calling | Yes | Yes |
| Tool use | Yes | Yes |
| Structured outputs | Yes | Yes |
| 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 reasoning mode: GLM-5V-Turbo and code execution: Claude Haiku 4.5. Both models share vision, multimodal input, function calling, and tool use, 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, Claude Haiku 4.5 lists $0.80/1M input and $4/1M output tokens on the cheapest tracked provider, while GLM-5V-Turbo lists $1.20/1M input and $4/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Claude Haiku 4.5 lower by about $0.28 per million blended tokens. Availability is 8 providers versus 2, so concentration risk also matters.
Choose Claude Haiku 4.5 when coding workflow support, lower input-token cost, and broader provider choice are central to the workload. Choose GLM-5V-Turbo when reasoning depth 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.
FAQ
Which has a larger context window, Claude Haiku 4.5 or GLM-5V-Turbo?
Claude Haiku 4.5 supports 200k tokens, while GLM-5V-Turbo supports 200k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Claude Haiku 4.5 or GLM-5V-Turbo?
Claude Haiku 4.5 is cheaper on tracked token pricing. Claude Haiku 4.5 costs $0.80/1M input and $4/1M output tokens. GLM-5V-Turbo costs $1.20/1M input and $4/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Claude Haiku 4.5 or GLM-5V-Turbo open source?
Claude Haiku 4.5 is listed under Proprietary. GLM-5V-Turbo is listed under MIT. 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, Claude Haiku 4.5 or GLM-5V-Turbo?
Both Claude Haiku 4.5 and GLM-5V-Turbo 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, Claude Haiku 4.5 or GLM-5V-Turbo?
Both Claude Haiku 4.5 and GLM-5V-Turbo 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.
Where can I run Claude Haiku 4.5 and GLM-5V-Turbo?
Claude Haiku 4.5 is available on Microsoft Foundry, Anthropic, Snowflake Cortex, AWS Bedrock, and GCP Vertex AI. GLM-5V-Turbo is available on OpenRouter and Vercel AI Gateway. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-25. Data sourced from public model cards and provider documentation.