Claude Haiku 4.5 vs GLM-5
Claude Haiku 4.5 (2025) and GLM-5 (2026) are frontier reasoning models from Anthropic and Zhipu AI. Claude Haiku 4.5 ships a 200k-token context window, while GLM-5 ships a 200k-token context window. On SWE-bench Verified, GLM-5 leads by 4.5 pts. On pricing, GLM-5 costs $0.60/1M input tokens versus $0.80/1M 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.
GLM-5 is safer overall; choose Claude Haiku 4.5 when coding workflow support matters.
Decision scorecard
Local evidence first| Signal | Claude Haiku 4.5 | GLM-5 |
|---|---|---|
| Best for | multimodal apps, tool-calling agents, and provider-routed production | reasoning-heavy apps, tool-calling agents, and provider-routed production |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 200k | 200k |
| Cheapest output | $4/1M tokens | $2.08/1M tokens |
| Provider routes | 8 tracked | 7 tracked |
| Shared benchmarks | 1 rows | SWE-bench Verified leader |
Decision tradeoffs
- Claude Haiku 4.5 has broader tracked provider coverage for fallback and procurement flexibility.
- Claude Haiku 4.5 uniquely exposes Vision, Multimodal, and Code execution in local model data.
- Local decision data tags Claude Haiku 4.5 for Coding, RAG, and Agents.
- GLM-5 holds a shared-benchmark lead on SWE-bench Verified, ahead by 4.5 points.
- GLM-5 has the lower cheapest tracked output price at $2.08/1M tokens.
- GLM-5 uniquely exposes Reasoning in local model data.
- Local decision data tags GLM-5 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.
Claude Haiku 4.5
$1,640
Cheapest tracked route/tier: AWS Bedrock
GLM-5
$1,000
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $640. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter, GCP Vertex AI, and Vercel AI Gateway; start route-level A/B tests there.
- GLM-5 is $1.92/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Multimodal, and Code execution before moving production traffic.
- GLM-5 adds Reasoning in local capability data.
- Provider overlap exists on GCP Vertex AI, OpenRouter, and Vercel AI Gateway; start route-level A/B tests there.
- Claude Haiku 4.5 is $1.92/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Reasoning before moving production traffic.
- Claude Haiku 4.5 adds Vision, Multimodal, and Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-10-01 | 2026-02-11 |
| 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-5 |
|---|---|---|
| Input price | $0.80/1M tokens | $0.60/1M tokens |
| Output price | $4/1M tokens | $2.08/1M tokens |
| Providers |
Capabilities
| Capability | Claude Haiku 4.5 | GLM-5 |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| 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
| Benchmark | Claude Haiku 4.5 | GLM-5 |
|---|---|---|
| SWE-bench Verified | 73.3 | 77.8 |
Deep dive
On shared benchmark coverage, SWE-bench Verified has Claude Haiku 4.5 at 73.3 and GLM-5 at 77.8, with GLM-5 ahead by 4.5 points. The largest visible gap is 4.5 points on SWE-bench Verified, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.
The capability footprint differs most on vision: Claude Haiku 4.5, multimodal input: Claude Haiku 4.5, reasoning mode: GLM-5, and code execution: Claude Haiku 4.5. Both models share function calling, tool use, and 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, Claude Haiku 4.5 lists $0.80/1M input and $4/1M output tokens on the cheapest tracked provider, while GLM-5 lists $0.60/1M input and $2.08/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts GLM-5 lower by about $0.72 per million blended tokens. Availability is 8 providers versus 7, so concentration risk also matters.
Choose Claude Haiku 4.5 when coding workflow support and broader provider choice are central to the workload. Choose GLM-5 when reasoning depth 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, Claude Haiku 4.5 or GLM-5?
Claude Haiku 4.5 supports 200k tokens, while GLM-5 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-5?
GLM-5 is cheaper on tracked token pricing. Claude Haiku 4.5 costs $0.80/1M input and $4/1M output tokens. GLM-5 costs $0.60/1M input and $2.08/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Claude Haiku 4.5 or GLM-5 open source?
Claude Haiku 4.5 is listed under Proprietary. GLM-5 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-5?
Claude Haiku 4.5 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 multimodal input, Claude Haiku 4.5 or GLM-5?
Claude Haiku 4.5 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 Claude Haiku 4.5 and GLM-5?
Claude Haiku 4.5 is available on Microsoft Foundry, Anthropic, Snowflake Cortex, AWS Bedrock, and GCP Vertex AI. GLM-5 is available on Fireworks AI, OpenRouter, Together AI, GCP Vertex AI, and NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-05-25. Data sourced from public model cards and provider documentation.