GPT-5.5 Instant vs Mistral Medium 3.5 vs Qwen3 Max
Mistral Medium 3.5 comes out ahead, 55 to 51 and 50 on our weighted score, though Qwen3 Max is 20% cheaper per token.
OpenAI
GPT-5.5 Instant
51/100- ECI142.5
- Price$5.00 / $30.00
- Context400K
- Our pick
Mistral AI
Mistral Medium 3.5
55/100- ECI141.4
- Price$1.50 / $7.50
- Context262K
Alibaba (Qwen)
Qwen3 Max
50/100- ECI142.4
- Price$1.20 / $6.00
- Context262K
Mistral Medium 3.5 is our pick
Mistral Medium 3.5 is the better all-round choice, scoring 55/100 against GPT-5.5 Instant (51) and Qwen3 Max (50). GPT-5.5 Instant wins on inputs & features and context window. Qwen3 Max wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityGPT-5.5 InstantCapabilities Index (ECI): GPT-5.5 Instant 142.5 · Qwen3 Max 142.4 · Mistral Medium 3.5 141.4
- Lowest priceQwen3 MaxQwen3 Max $2.40 · Mistral Medium 3.5 $3.00 · GPT-5.5 Instant $11.25 per 1M tokens (3:1 blend)
- Longest contextGPT-5.5 InstantGPT-5.5 Instant 400,000 · Mistral Medium 3.5 262,144 · Qwen3 Max 262,144 tokens
- Widest inputsGPT-5.5 InstantGPT-5.5 Instant: Text, Images, PDFs · Mistral Medium 3.5: Text, Images · Qwen3 Max: Text
- Self-hostingMistral Medium 3.5Publishes downloadable weights
| Measure | Weight | GPT-5.5 Instant | Mistral Medium 3.5 | Qwen3 Max |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 69 | 67 | 68 |
| Price | 25% | 0 | 27 | 32 |
| Inputs & features | 15% | 80 | 70 | 25 |
| Context window | 10% | 44 | 37 | 37 |
| Overall | 100% | 51/100 | 55/100 | 50/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 142.5 (best) | 141.4 | 142.4 |
| ECI rank | #89 of 148 (best) | #95 of 148 | #91 of 148 |
| GPQA DiamondGraduate-level science questions | 82.5% (best) | — | 72.6% |
| FrontierMath Tiers 1–3Research-level mathematics | 26.3% (best) | — | 19.0% |
| OTIS Mock AIME 2024–2025Competition mathematics | 68.1% | — | 73.3% (best) |
| SimpleQA VerifiedShort factual questions | — | — | 48.8% |
| Price per million tokens | |||
| Input | $5.00 | $1.50 | $1.20 (best) |
| Output | $30.00 | $7.50 | $6.00 (best) |
| Cached input | — | $0.15 | — |
| Blended (3:1) | $11.25 | $3.00 | $2.40 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 3 providers | Official Mistral API | Official Alibaba API |
| Limits | |||
| Context window | 400,000 tokens (best) | 262,144 tokens | 262,144 tokens |
| Max output | 128,000 tokens | 262,144 tokens (best) | 65,536 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | Yes | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | Yeshigh | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | No |
| Availability | |||
| Weights | Proprietary | Open | Proprietary |
| API model ID | — | mistral-medium-2604 | qwen3-max |
| API providers | 3 | 12 | 16 (best) |
| Released | May 5, 2026 | Apr 29, 2026 | Sep 23, 2025 |
| Knowledge cutoff | Dec 1, 2025 | — | Apr 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
GPT-5.5 Instant$110.00
Mistral Medium 3.5$30.00
Qwen3 Max$24.00
Which should you choose?
Which is better: GPT-5.5 Instant, Mistral Medium 3.5 or Qwen3 Max?
Mistral Medium 3.5 is the better all-round choice, scoring 55/100 against GPT-5.5 Instant (51) and Qwen3 Max (50). GPT-5.5 Instant wins on inputs & features and context window. Qwen3 Max wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, GPT-5.5 Instant, Mistral Medium 3.5 or Qwen3 Max?
Qwen3 Max is cheaper at $1.20 input / $6.00 output per million tokens (official Alibaba API price). Mistral Medium 3.5 costs $1.50 input / $7.50 output per million tokens (official Mistral API price); GPT-5.5 Instant costs $5.00 input / $30.00 output per million tokens (median across 3 API providers). At a typical mix of three input tokens to one output token, that is $2.40 per million tokens for Qwen3 Max versus $3.00 for Mistral Medium 3.5 (1.3× as much) and $11.25 for GPT-5.5 Instant (4.7× as much).
Which scores higher on benchmarks?
GPT-5.5 Instant scores higher on the Capabilities Index (ECI): GPT-5.5 Instant 142.5 (#89 of 148), Qwen3 Max 142.4 (#91 of 148) and Mistral Medium 3.5 141.4 (#95 of 148). The confidence ranges of the top two overlap (140.0–145.3 vs 140.0–144.6), so treat the gap as small.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-5.5 Instant, Mistral Medium 3.5 and Qwen3 Max yet, so there is no like-for-like coding score. On overall capability, GPT-5.5 Instant leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.
Which has the bigger context window?
GPT-5.5 Instant has the largest context window at 400,000 tokens, against 262,144 for Mistral Medium 3.5 and 262,144 for Qwen3 Max. Maximum output per response: GPT-5.5 Instant up to 128,000, Mistral Medium 3.5 up to 262,144, Qwen3 Max up to 65,536 tokens.
Which can read images, PDFs, audio or video?
GPT-5.5 Instant accepts text, images and PDFs; Mistral Medium 3.5 accepts text and images; Qwen3 Max accepts text. GPT-5.5 Instant handles the widest range of inputs.
Are any of these open source?
Mistral Medium 3.5 publishes its weights and can be self-hosted; GPT-5.5 Instant and Qwen3 Max is proprietary.
Which is newer?
GPT-5.5 Instant is the newest, released May 5, 2026. Mistral Medium 3.5 came out Apr 29, 2026; Qwen3 Max came out Sep 23, 2025. Knowledge cutoff: GPT-5.5 Instant Dec 1, 2025, Qwen3 Max Apr 2025.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.