Which model should you pick?
Filter by legal jurisdiction, budget, context and vision. The ranking uses published prices, each model official positioning, context size and the speed our probes actually measure.
Ranking
| # | Version | Provider | Data jurisdiction | Price $/M (in / out) | Measured speed (first token) | Context | Our probe | Score |
|---|---|---|---|---|---|---|---|---|
| 1 | GLM GLM-5.3-Flash | Z.AI | CN | 0,15 / 0,5 USD | — | — | Not probed (no key) | 75,5 |
| 2 | DeepSeek V4.1 Flash 1017 | DeepSeek | CN | 0,3 / 1,2 USD | 379 ms | 1,05 M | Operational | 64,3 |
| 3 | DeepSeek V4 Pro 0813 | DeepSeek | CN | 1,32 / 3,96 USD | 378 ms | 1,05 M | Operational | 49,5 |
| 4 | GLM GLM-5.3-FlashX | Z.AI | CN | 0,37 / 1,25 USD | — | — | Not probed (no key) | 44,5 |
| 5 | Kimi K3.1 Pro | Moonshot AI | CN | 2 / 10 USD | — | 1,05 M | Not probed (no key) | 38,4 |
| 6 | Kimi K3.1 Pro Highspeed | Moonshot AI | CN | 4 / 20 USD | — | 1,05 M | Not probed (no key) | 36,9 |
| 7 | GLM GLM-4.7 | Z.AI | CN | 0,6 / 2,2 USD | — | — | Not probed (no key) | 36,5 |
| 8 | Kimi K3 | Moonshot AI | CN | 3 / 15 USD | — | 1,05 M | Not probed (no key) | 36,2 |
| 9 | GLM GLM-5 | Z.AI | CN | 1 / 3,2 USD | — | — | Not probed (no key) | 34,5 |
| 10 | GLM GLM-5.3 | Z.AI | CN | 1,4 / 4,4 USD | — | — | Not probed (no key) | 33,3 |
Why this ranking
1. GLM GLM-5.3-Flash — Z.AI (CN) · Volume et coût minimal
Weighting : Cost 100 · Speed 45 · Capability 55 · Context 20 · Our probe 60
2. DeepSeek V4.1 Flash 1017 — DeepSeek (CN) · Volume, vision, agents économiques
Weighting : Cost 42 · Speed 100 · Capability 80 · Context 100 · Our probe 100
3. DeepSeek V4 Pro 0813 — DeepSeek (CN) · Raisonnement approfondi, sans vision
Weighting : Cost 12 · Speed 100 · Capability 88 · Context 100 · Our probe 100
Score 0-100: cost (input price 30%, output 70%), capability (official positioning in the range), context (log scale), speed (measured first token; neutral 45/100 when not probed), state (100 operational, 55 degraded, 0 down, 60 not measured).