Gemini 2.5 Pro vs GLM-5
Gemini 2.5 Pro (2025) and GLM-5 (2026) are frontier-tier reasoning models from Google DeepMind and Zhipu AI. Gemini 2.5 Pro ships a 1m-token context window, while GLM-5 ships a 200k-token context window. On MMLU PRO, Gemini 2.5 Pro leads by 0.2 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Gemini 2.5 Pro fits 5x more tokens; pick it for long-context work and GLM-5 for tighter calls.
Decision scorecard
Local evidence first| Signal | Gemini 2.5 Pro | GLM-5 |
|---|---|---|
| Best for | reasoning-heavy apps, multimodal apps, and tool-calling agents | reasoning-heavy apps, tool-calling agents, and provider-routed production |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 1m | 200k |
| Cheapest output | $10/1M tokens | $2.08/1M tokens |
| Provider routes | 4 tracked | 7 tracked |
| Shared benchmarks | MMLU PRO leader | 6 shared |
Decision tradeoffs
- Gemini 2.5 Pro holds a shared-benchmark lead on MMLU PRO, ahead by 0.2 points.
- Gemini 2.5 Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Gemini 2.5 Pro uniquely exposes Vision, Multimodal, and Code execution in local model data.
- Local decision data tags Gemini 2.5 Pro for Coding, RAG, and Agents.
- GLM-5 holds a shared-benchmark lead on SWE-bench Verified, ahead by 14 points.
- GLM-5 has the lower cheapest tracked output price at $2.08/1M tokens.
- GLM-5 has broader tracked provider coverage for fallback and route flexibility.
- 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.
Gemini 2.5 Pro
$3,500
Cheapest tracked route/tier: Google AI Studio <=200K tokens
GLM-5
$1,000
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $2,500. 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 $7.92/1M 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.
- Provider overlap exists on GCP Vertex AI, OpenRouter, and Vercel AI Gateway; start route-level A/B tests there.
- Gemini 2.5 Pro is $7.92/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Gemini 2.5 Pro adds Vision, Multimodal, and Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-06-17 | 2026-02-11 |
| Context window | 1m | 200k |
| Parameters | — | 744B total, 40B active |
| Architecture | Decoder Only | Mixture of Experts |
| License | Proprietary | MITOSI-approved |
| Openness | Proprietary | Open source |
| Weights | Not released | Available |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | 2025-01 | 2025-11 |
Pricing and availability
| Pricing attribute | Gemini 2.5 Pro | GLM-5 |
|---|---|---|
| Input price |
| $0.60/1M tokens |
| Output price |
| $2.08/1M tokens |
| Providers |
Capabilities
| Capability | Gemini 2.5 Pro | GLM-5 |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | Yes | Yes |
| JSON / 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 | Gemini 2.5 Pro | GLM-5 |
|---|---|---|
| MMLU PRO | 86.2 | 86.0 |
| SWE-bench Verified | 63.8 | 77.8 |
| Google-Proof Q&A | 86.4 | 86.0 |
| AIME 2025 | 86.7 | 92.7 |
| LiveCodeBench | 75.6 | 81.9 |
| Humanity's Last Exam | 18.8 | 30.5 |
Continue comparing
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Last reviewed: 2026-06-30. Data sourced from public model cards and provider documentation.