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Four models, one page
Pick the models you are actually choosing between. Every row is scaled within itself, so a bar means something next to its neighbours and nothing across rows.
| Specification | Qwen3.5-122B-A10BQwen | Claude Opus 5Anthropic |
|---|---|---|
| Released | Feb 25, 2026 | Jul 24, 2026 |
| Context window | 262K | 1M |
| Max output | 82K | 128K |
| Input / 1M | $0.29 | $5 |
| Output / 1M | $2.4 | $25 |
| Cost per task | $0.21 | $2.25 |
| Arena Elo | — | 1,393 |
| Serving providers | 5 | 5 |
| Parameters | 125.1B | Undisclosed |
| Licence | apache-2.0 | Proprietary |
| Capabilities |
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Metrics side by side
Each row is scaled to the largest value in that row — bars compare within a row, never across rows
- Qwen3.5-122B-A10B
- Claude Opus 5
Intelligence Index
Qwen3.5-122B-A10B32.8Claude Opus 563.1Coding Index
Qwen3.5-122B-A10B45.7Claude Opus 578.0Agentic Index
Qwen3.5-122B-A10B21.3Claude Opus 559.2Output speed
Qwen3.5-122B-A10B145 t/sClaude Opus 587 t/sContext window
Qwen3.5-122B-A10B262KClaude Opus 51MLatency · lower is better
Qwen3.5-122B-A10B506msClaude Opus 51.12sBlended price / 1M · lower is better
Qwen3.5-122B-A10B$0.817Claude Opus 5$10Cost per task · lower is better
Qwen3.5-122B-A10B$0.21Claude Opus 5$2.25
Rows marked “lower is better” still draw a longer bar for a larger number — read the value, not just the length. Arena Elo is in the specification table above instead: it has no meaningful zero, so a bar would flatten the gaps.
View as table
| Metric | Qwen3.5-122B-A10B | Claude Opus 5 |
|---|---|---|
| Intelligence Index | 32.8 | 63.1 |
| Coding Index | 45.7 | 78.0 |
| Agentic Index | 21.3 | 59.2 |
| Output speed | 145 t/s | 87 t/s |
| Context window | 262K | 1M |
| Latency · lower is better | 506ms | 1.12s |
| Blended price / 1M · lower is better | $0.817 | $10 |
| Cost per task · lower is better | $0.21 | $2.25 |
Evaluation scores
Percentage correct on a common 0–100% scale
- Qwen3.5-122B-A10B
- Claude Opus 5
GPQA Diamond
Qwen3.5-122B-A10B85.7%Claude Opus 593.2%Humanity's Last Exam
Qwen3.5-122B-A10B25.2%Claude Opus 554.9%SciCode
Qwen3.5-122B-A10B42.0%Claude Opus 555.7%τ²-bench
Qwen3.5-122B-A10B93.6%Claude Opus 542.1%Terminal-Bench Hard
Qwen3.5-122B-A10B31.1%Claude Opus 5not measuredAA-LCR long context
Qwen3.5-122B-A10B70.3%Claude Opus 575.7%
A missing bar means that evaluation was not run for that model — it is not a zero.
View as table
| Evaluation | Qwen3.5-122B-A10B | Claude Opus 5 |
|---|---|---|
| GPQA Diamond | 85.7% | 93.2% |
| Humanity's Last Exam | 25.2% | 54.9% |
| SciCode | 42.0% | 55.7% |
| τ²-bench | 93.6% | 42.1% |
| Terminal-Bench Hard | 31.1% | — |
| LiveCodeBench | — | — |
| AA-LCR long context | 70.3% | 75.7% |
| AIME 2025 | — | — |
Estimated from list pricing: 50K input tokens plus 80K output tokens for reasoning models (25K for non-reasoning).